{"meta":{"query_hash":"fbe746dfff34","filters":{"venue":"Applied Chemical Engineering"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/fbe746dfff34","api":"https://metacan.xera.ac/api/v1/cohort?venue=Applied+Chemical+Engineering"},"results":[{"id":"W4386408727","doi":"10.24294/ace.v6i2.2202","title":"Lipoproteins within the lymphatic system: Insights into health, disease, and therapeutic implications","year":2023,"lang":"en","type":"article","venue":"Applied Chemical Engineering","topic":"Lymphatic System and Diseases","field":"Medicine","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 Alberta","funders":"","keywords":"Chylomicron; Lymphatic system; Lipoprotein; Lymphatic vessel; Disease; Cholesterol; Very low-density lipoprotein; Biology; Medicine; Biochemistry; Immunology; Internal medicine; Cancer","score_opus":0.011677600977067184,"score_gpt":0.23635747560032827,"score_spread":0.22467987462326108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386408727","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041915826,0.9630557,0.003407759,0.022649048,0.0012692944,0.000010637582,0.000036499332,0.000029895244,0.005349579],"genre_scores_gemma":[0.029533269,0.9608783,0.00183911,0.0025901794,0.003284334,0.000017382197,0.0000283898,0.0000069123007,0.0018221061],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99963176,0.00014789497,0.000035151126,0.000050203216,0.00007244951,0.00006256441],"domain_scores_gemma":[0.99910444,0.00048600085,0.00009436263,0.000050080547,0.00014996828,0.00011517146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012938756,0.00052213226,0.00070544565,0.002662918,0.00059715495,0.0030624005,0.00063333515,0.0017638281,0.0026252137],"category_scores_gemma":[0.0010484798,0.00020455703,0.00045735823,0.0014456338,0.0038292555,0.0038989147,0.0014059546,0.0024163637,0.0005607853],"study_design_candidate":"not_applicable","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":[0.0003725331,0.00024686416,0.0052929376,0.006587516,0.00012850123,0.0024415886,0.0015173815,0.001548163,0.014518849,0.22219616,0.022695102,0.72245437],"study_design_scores_gemma":[0.00002498533,0.00067727006,0.0074014124,0.0037576486,0.00013567747,0.0077106496,0.0037319118,0.001559072,0.004268948,0.16090484,0.80973405,0.000093553776],"about_ca_topic_score_codex":0.0008278014,"about_ca_topic_score_gemma":0.0012069242,"teacher_disagreement_score":0.0030624005,"about_ca_system_score_codex":0.0013856026,"about_ca_system_score_gemma":0.0018128142,"threshold_uncertainty_score":0.010053277},"labels":[],"label_agreement":null},{"id":"W4389819416","doi":"10.24294/ace.v7i1.2459","title":"Innovative downdraft gasifier design utilizing exhaust gas as gasification agent for sustainable syngas production","year":2023,"lang":"en","type":"article","venue":"Applied Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Syngas; Syngas to gasoline plus; Wood gas generator; Waste management; Exhaust gas; Environmental science; Producer gas; Methane; Renewable energy; Integrated gasification combined cycle; Coal; Gas engine; Fuel gas; Combustion; Hydrogen production; Hydrogen; Chemistry; Engineering; Steam reforming","score_opus":0.017735974416731033,"score_gpt":0.21843748078156427,"score_spread":0.20070150636483325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389819416","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":[0.76194996,0.003266665,0.22497097,0.00017835766,0.00023966613,0.00029724705,0.0004517252,0.0011236558,0.0075216917],"genre_scores_gemma":[0.8981486,0.0011700515,0.09345782,0.000088845874,0.00003546679,0.00015055019,0.0005825041,0.00012025731,0.0062460024],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998017,0.000015191618,0.000016400387,0.000060529972,0.0000730188,0.00003307486],"domain_scores_gemma":[0.9999305,0.0000065806603,0.000018063842,0.000008443444,0.000024969879,0.0000114024715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021832199,0.0005166065,0.0004919734,0.0003521471,0.0001705105,0.00056825246,0.00080005924,0.00057710905,0.0008838477],"category_scores_gemma":[0.00017211685,0.00022942881,0.00041876317,0.00018553437,0.00017500746,0.00083907886,0.00043601403,0.000478158,0.0006693166],"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":[0.0001612608,0.000050893297,0.00040463495,0.00015135057,0.000013762325,0.00014083914,0.000022504344,0.0022552265,0.9781617,0.0008072265,0.00015613752,0.017674496],"study_design_scores_gemma":[0.0000388489,0.0006890346,0.0018493349,0.000015834605,0.000053309344,0.000434913,0.00003902602,0.026948756,0.9490487,0.00023983179,0.020607064,0.00003543127],"about_ca_topic_score_codex":0.00060341886,"about_ca_topic_score_gemma":0.0012142168,"teacher_disagreement_score":0.0008838477,"about_ca_system_score_codex":0.0002808071,"about_ca_system_score_gemma":0.00030529712,"threshold_uncertainty_score":0.002956748},"labels":[],"label_agreement":null},{"id":"W4390790374","doi":"10.24294/ace.v7i1.3364","title":"Design and performance analysis of hydrogen-fueled micro combustion chamber with focus on back pressure minimization","year":2024,"lang":"en","type":"article","venue":"Applied Chemical Engineering","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Combustion chamber; Combustion; Nuclear engineering; Turbulence; Hydrogen; Chamber pressure; Mechanical engineering; Turbine; Materials science; Environmental chamber; Mechanics; Gas turbines; Thermodynamics; Environmental science; Engineering; Chemistry; Physics","score_opus":0.00450124493843696,"score_gpt":0.167984326771871,"score_spread":0.16348308183343405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390790374","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":[0.8248748,0.0014826838,0.16426383,0.00020362838,0.000092527414,0.00022178587,0.00042308724,0.0010026343,0.0074350247],"genre_scores_gemma":[0.9842175,0.00014535084,0.014019026,0.000012883223,0.000009123289,0.00004730548,0.00007312736,0.000026371152,0.0014492024],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997898,0.000015716458,0.000007822507,0.00005289353,0.0001075975,0.00002619811],"domain_scores_gemma":[0.9997744,0.00006224753,0.000054652854,0.00001620569,0.000068287474,0.00002412332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022738782,0.00027010165,0.00039250773,0.00019300013,0.00033933704,0.00047898802,0.00080964016,0.0002888619,0.0013311774],"category_scores_gemma":[0.00031237895,0.0002435213,0.00024813047,0.00011278372,0.00021575246,0.00026503415,0.00020043748,0.00017924575,0.00022847683],"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":[0.0008128753,0.00011867358,0.006117684,0.0006777373,0.00006534406,0.00025879938,0.00011651593,0.157468,0.79083526,0.0019466141,0.001195609,0.040386908],"study_design_scores_gemma":[0.00005562087,0.0012069352,0.009673135,0.000017824284,0.00006638256,0.00019830426,0.000047038946,0.6223786,0.36163265,0.00015931368,0.0045118285,0.000052327418],"about_ca_topic_score_codex":0.0015199315,"about_ca_topic_score_gemma":0.0015064254,"teacher_disagreement_score":0.0015199315,"about_ca_system_score_codex":0.0004999912,"about_ca_system_score_gemma":0.0007396289,"threshold_uncertainty_score":0.004453242},"labels":[],"label_agreement":null},{"id":"W7104253449","doi":"10.59429/ace.v8i4.5790","title":"Machine learning applications in ore grade estimation and blending optimization for modern mining","year":2025,"lang":"","type":"article","venue":"Applied Chemical Engineering","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estimation; Key (lock); Big data; Control (management); Efficient energy use","score_opus":0.006795100467407351,"score_gpt":0.21908164886897263,"score_spread":0.21228654840156527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104253449","genre_codex":"methods","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":[0.016233092,0.2223888,0.7209605,0.010425788,0.0011361156,0.000099650446,0.0005027921,0.0015345792,0.026718691],"genre_scores_gemma":[0.39322898,0.25190938,0.3373423,0.0027209432,0.0025233326,0.00024907867,0.0011624567,0.0002559624,0.010607642],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918956,0.00025457976,0.00007441756,0.00017059628,0.0002751564,0.00003563151],"domain_scores_gemma":[0.997781,0.0015674161,0.00017866012,0.0001129569,0.0003194653,0.000040540766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017242818,0.00087185274,0.0010765807,0.0012632969,0.00027978385,0.0013274633,0.000879882,0.0013568791,0.0030020387],"category_scores_gemma":[0.0044447277,0.0003123778,0.0011863105,0.0025830762,0.000835878,0.0015376067,0.0009792588,0.0022167515,0.0011014396],"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":[0.00007472302,0.00014712467,0.0059847725,0.003639869,0.00037523083,0.0003069393,0.00019835396,0.19464116,0.004396155,0.066586345,0.018493658,0.70515573],"study_design_scores_gemma":[0.00003289517,0.00027275828,0.0068561323,0.0016583282,0.0002013051,0.0005345349,0.00028397856,0.5735932,0.007317337,0.2087732,0.20034383,0.00013248059],"about_ca_topic_score_codex":0.0019058716,"about_ca_topic_score_gemma":0.002104407,"teacher_disagreement_score":0.0030020387,"about_ca_system_score_codex":0.0007611767,"about_ca_system_score_gemma":0.00085300714,"threshold_uncertainty_score":0.010042846},"labels":[],"label_agreement":null}]}