{"meta":{"query_hash":"bba5a7b09064","filters":{"venue":"Journal of Advanced Manufacturing and Processing"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/bba5a7b09064","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Advanced+Manufacturing+and+Processing"},"results":[{"id":"W3004679803","doi":"10.1002/amp2.10039","title":"Distributed production: Scale‐up vs experience","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Manufacturing and Processing","topic":"Process Optimization and Integration","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Numbering; Investment (military); Economics; Scale (ratio); Modularity (biology); Production (economics); Modular design; Refinery; Economies of scale; Unit (ring theory); Natural gas; Scaling; Industrial organization; Environmental economics; Natural resource economics; Microeconomics; Engineering; Computer science; Mathematics; Environmental engineering; Waste management","score_opus":0.010372542863609616,"score_gpt":0.2293303376664289,"score_spread":0.2189577948028193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004679803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51348865,0.004115712,0.123596154,0.010808735,0.000322286,0.0002856945,0.00013032054,0.00062773906,0.34662464],"genre_scores_gemma":[0.9817976,0.0009563629,0.008971523,0.00019928333,0.00007880842,0.000035174457,0.000045726625,0.00005189809,0.0078636585],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823403,0.0006175633,0.000048252194,0.00023870001,0.00065558456,0.00020597549],"domain_scores_gemma":[0.99654007,0.0016174228,0.00020285063,0.0006103941,0.00059331895,0.0004360225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031266478,0.00037103068,0.00018737621,0.00042529937,0.0008219214,0.0034163974,0.0011339049,0.0008758778,0.011953515],"category_scores_gemma":[0.005670314,0.00015554717,0.00025684084,0.00049200596,0.0017816374,0.004544964,0.002576152,0.0012693142,0.0013357869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006253204,0.0015333003,0.014816686,0.00059029035,0.00006287795,0.0027221807,0.010218093,0.062161785,0.013078403,0.2613458,0.017896209,0.614949],"study_design_scores_gemma":[0.0005615018,0.004964727,0.012996784,0.00093365443,0.000114721974,0.0037046608,0.024100656,0.19262676,0.025629055,0.31363818,0.4205204,0.00020891656],"about_ca_topic_score_codex":0.0013163635,"about_ca_topic_score_gemma":0.0012301655,"teacher_disagreement_score":0.011953515,"about_ca_system_score_codex":0.0016288776,"about_ca_system_score_gemma":0.0007603789,"threshold_uncertainty_score":0.03998846},"labels":[],"label_agreement":null},{"id":"W4283075485","doi":"10.1002/amp2.10132","title":"Getting to net zero through extended producer responsibility","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Manufacturing and Processing","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Greenhouse gas; Obligation; Net (polyhedron); Zero (linguistics); Business; Zero emission; Natural resource economics; Petroleum industry; Emissions trading; Environmental economics; Environmental science; Economics; Waste management; Engineering; Political science; Environmental engineering; Law; Mathematics; Ecology","score_opus":0.052970265644212144,"score_gpt":0.28320169854085453,"score_spread":0.23023143289664239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283075485","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041269034,0.0020981985,0.15838957,0.08516057,0.0015960473,0.00020199869,0.00017805865,0.00053777924,0.7105688],"genre_scores_gemma":[0.90029466,0.0012020268,0.018410875,0.008140086,0.00071143534,0.00016288055,0.00010996659,0.00022999474,0.070738055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9865708,0.0067420313,0.00035729294,0.0014219629,0.0036371935,0.0012707468],"domain_scores_gemma":[0.9816522,0.0058873375,0.0017100872,0.0031805707,0.0048209727,0.0027489176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016876342,0.00083477644,0.00044440347,0.0013364097,0.0029956973,0.007939267,0.0015017671,0.003503843,0.019651476],"category_scores_gemma":[0.0310221,0.0003416142,0.00067471724,0.00069520425,0.008239889,0.010388501,0.0103105195,0.006241975,0.0023502067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003626925,0.000075995886,0.0011774532,0.00006986682,0.000023133909,0.00013660356,0.0010614016,0.0025576104,0.0004122007,0.9540161,0.01903736,0.02139613],"study_design_scores_gemma":[0.00003913901,0.000073541385,0.0010097416,0.00021727715,0.000018200793,0.00009122162,0.0005495537,0.0028247787,0.00063844223,0.83871824,0.1557731,0.00004684822],"about_ca_topic_score_codex":0.0034982436,"about_ca_topic_score_gemma":0.0034591078,"teacher_disagreement_score":0.019651476,"about_ca_system_score_codex":0.0035460014,"about_ca_system_score_gemma":0.007845652,"threshold_uncertainty_score":0.0892517},"labels":[],"label_agreement":null},{"id":"W4285084344","doi":"10.1002/amp2.10138","title":"Developing a supervised machine‐learning model capable of distinguishing fiber orientation of polymer composite samples nondestructively tested using active ultrasonics","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Manufacturing and Processing","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; McMaster University","funders":"","keywords":"Computer science; Artificial intelligence; SIGNAL (programming language); Signal processing; Pattern recognition (psychology); Fourier transform; Fiber; Orientation (vector space); Time domain; Convolutional neural network; Projection (relational algebra); Transformation (genetics); Frequency domain; Materials science; Machine learning; Digital signal processing; Computer vision; Mathematics; Algorithm","score_opus":0.01695032113753063,"score_gpt":0.23622300349637068,"score_spread":0.21927268235884007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285084344","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1568632,0.00011576994,0.8399799,0.00015747637,0.00003488477,0.000073428775,0.00007923032,0.0009741692,0.0017219165],"genre_scores_gemma":[0.91803235,0.00006020372,0.07915619,0.000047806356,0.000016260208,0.0001480625,0.00014142971,0.000029771643,0.0023678245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986374,0.00003513106,0.000007824773,0.00004214272,0.000034611974,0.00001656596],"domain_scores_gemma":[0.99935085,0.00037990173,0.00005415409,0.000041556203,0.00015734171,0.000016072961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007392411,0.0005006646,0.0003657284,0.00026369825,0.0001984845,0.0005222701,0.00059993804,0.00064045616,0.0010376796],"category_scores_gemma":[0.0013492987,0.00025120546,0.00044028778,0.00015042405,0.00026616454,0.0004553621,0.00026000914,0.0006405339,0.00034315963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008765665,0.000110437344,0.0013374931,0.00003665657,0.000036073157,0.000030449473,0.000028091312,0.933354,0.011594395,0.0009776223,0.0002947339,0.05211234],"study_design_scores_gemma":[7.593582e-7,0.000008032359,0.00004797335,7.402801e-7,0.0000012385873,0.0000012587665,8.67872e-7,0.99903584,0.000804601,0.0000711541,0.000026788346,7.6109677e-7],"about_ca_topic_score_codex":0.005552826,"about_ca_topic_score_gemma":0.003882326,"teacher_disagreement_score":0.005552826,"about_ca_system_score_codex":0.00051675795,"about_ca_system_score_gemma":0.00082762085,"threshold_uncertainty_score":0.011040986},"labels":[],"label_agreement":null},{"id":"W4408532894","doi":"10.1002/amp2.70001","title":"Microwave‐assisted poly(<scp>D</scp>,<scp>L</scp>‐lactide) synthesis in toluene and tetrahydrofuran","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Manufacturing and Processing","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Toronto Metropolitan University; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tetrahydrofuran; Toluene; Lactide; Chemistry; Organic chemistry; Copolymer; Polymer","score_opus":0.012856229052029074,"score_gpt":0.2370788285976786,"score_spread":0.22422259954564952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408532894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98638594,0.0012070305,0.009947788,0.000037812155,0.00002037569,0.00006277442,0.00016571837,0.00013529112,0.0020373245],"genre_scores_gemma":[0.985719,0.00088389777,0.01099609,0.00001984279,0.000007640263,0.00005850102,0.00017244805,0.000049890765,0.0020927368],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990106,0.00002061056,0.0000074279715,0.000017602431,0.000028218483,0.000025069021],"domain_scores_gemma":[0.9999031,0.00001924607,0.000036053498,0.000008055464,0.000015457663,0.000018142813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015325258,0.00037647795,0.00017437382,0.00013667317,0.00009836524,0.00020943969,0.00014573467,0.00013277186,0.00061604934],"category_scores_gemma":[0.00014802592,0.00014824134,0.00018976428,0.00021764857,0.0001246498,0.00019882432,0.00013968736,0.00023925785,0.00039799258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022666989,0.000008387954,0.000024856316,0.000029231585,0.000001564504,0.000019471338,0.000009536877,0.00010433241,0.998806,0.000026448712,0.000010176738,0.00093741424],"study_design_scores_gemma":[0.000005351908,0.000100296376,0.00032058556,0.000003012746,0.000003850051,0.000024797457,0.0000053902636,0.00064200605,0.99845755,0.000005543286,0.00042847716,0.0000031777936],"about_ca_topic_score_codex":0.0015288936,"about_ca_topic_score_gemma":0.0026437882,"teacher_disagreement_score":0.0015288936,"about_ca_system_score_codex":0.0002890776,"about_ca_system_score_gemma":0.00035060602,"threshold_uncertainty_score":0.0030400157},"labels":[],"label_agreement":null},{"id":"W4415427366","doi":"10.1002/amp2.70044","title":"Maneuverability‐Based Speed and Temperature Adaptive Robotic Control (M‐ <scp>STARC</scp> ) for Fiber Steering in Additive Manufacturing","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Manufacturing and Processing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Nozzle; Trajectory; Fiber; Motion planning; Robot; Fused deposition modeling; Path (computing); Spray nozzle","score_opus":0.007519253980575944,"score_gpt":0.22592370179508847,"score_spread":0.21840444781451251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415427366","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13236699,0.00024259555,0.8593042,0.000103611135,0.00006631972,0.00007195492,0.000024372546,0.0013809615,0.0064390334],"genre_scores_gemma":[0.95309156,0.000051244675,0.045528587,0.00002453308,0.000010570278,0.00003277233,0.000016353108,0.000032032458,0.0012123873],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985206,0.00001880871,0.0000070812166,0.000033158223,0.00007380591,0.000015140431],"domain_scores_gemma":[0.9998312,0.000034433364,0.000050334147,0.000027009999,0.000046629233,0.000010417842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018557701,0.00028541722,0.00011502755,0.00017547466,0.00017174947,0.00021211217,0.00035553434,0.00017445598,0.00079724676],"category_scores_gemma":[0.00032463294,0.000109978035,0.0001620506,0.00010419912,0.0002658118,0.00018656292,0.00024989233,0.00021669338,0.0001543288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026830865,0.00010851312,0.0013235362,0.00014698063,0.000034198943,0.00011653235,0.00013230495,0.29342788,0.40962064,0.008985976,0.0013380678,0.28449702],"study_design_scores_gemma":[0.000011190271,0.0002532024,0.00070766354,0.0000055022456,0.0000069935027,0.000042174084,0.000007821641,0.9487634,0.046842672,0.00073308864,0.002612004,0.000014382494],"about_ca_topic_score_codex":0.0012405798,"about_ca_topic_score_gemma":0.0015052553,"teacher_disagreement_score":0.0012405798,"about_ca_system_score_codex":0.00024831507,"about_ca_system_score_gemma":0.00028293979,"threshold_uncertainty_score":0.0026670694},"labels":[],"label_agreement":null},{"id":"W7118096369","doi":"10.1002/amp2.70048","title":"Titanium Dioxide Content Soft Sensor Development for Pilot‐Scale Ilmenite Electric Arc Furnace Using <scp>BiLSTM</scp> and <scp>BiGRU</scp> Recurrent Neural Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Manufacturing and Processing","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rio Tinto (Canada); Polytechnique Montréal","funders":"Mitacs","keywords":"Consumables; Electric arc furnace; Ilmenite; Soft sensor; Artificial neural network; Slag (welding); Smelting; Titanium; Recurrent neural network","score_opus":0.019721881741115093,"score_gpt":0.24530299289521187,"score_spread":0.2255811111540968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118096369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74686104,0.00025073026,0.24586615,0.00029748873,0.00012762554,0.00017970506,0.00027193164,0.0028140107,0.0033314074],"genre_scores_gemma":[0.9732789,0.000042121126,0.02534915,0.000025205993,0.000004373191,0.000053197266,0.000095656964,0.000023946055,0.0011273575],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998233,0.000019123787,0.0000095757405,0.000049885974,0.00008151272,0.000016745873],"domain_scores_gemma":[0.9997693,0.00004802767,0.00002591583,0.000025985371,0.00011446154,0.0000164889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045080992,0.0004325719,0.00032538496,0.00021820088,0.00023117824,0.000439962,0.00076455827,0.00048906024,0.0010119601],"category_scores_gemma":[0.0005512593,0.00020288111,0.00029164465,0.00015317895,0.0002342305,0.00042757255,0.00034957388,0.0004944361,0.00031447905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006305643,0.000418572,0.0067089624,0.0003603933,0.00007372778,0.00029407587,0.00014844812,0.1051691,0.77789533,0.00057980936,0.0012701843,0.10645077],"study_design_scores_gemma":[0.000032822325,0.00046531277,0.0035314613,0.000009001375,0.000028389164,0.000044150464,0.00003979976,0.6715465,0.32297817,0.00012982696,0.0011714234,0.000023102666],"about_ca_topic_score_codex":0.0051081525,"about_ca_topic_score_gemma":0.008022965,"teacher_disagreement_score":0.0051081525,"about_ca_system_score_codex":0.00050450757,"about_ca_system_score_gemma":0.000547092,"threshold_uncertainty_score":0.01015681},"labels":[],"label_agreement":null}]}