{"meta":{"query_hash":"c0c32235dd57","filters":{"venue":"Open Journal of Optimization"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/c0c32235dd57","api":"https://metacan.xera.ac/api/v1/cohort?venue=Open+Journal+of+Optimization"},"results":[{"id":"W1992065642","doi":"10.4236/ojop.2013.23009","title":"Two Agent Paths Planning Collaboration Based on the State Feedback Stackelberg Dynamic Game","year":2013,"lang":"en","type":"article","venue":"Open Journal of Optimization","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"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 du Québec à Trois-Rivières","funders":"Polytechnique Montréal","keywords":"Stackelberg competition; Deadlock; Computer science; Motion planning; Trajectory; Distributed computing; State space; State (computer science); Game theory; Architecture; Incentive; Sequential game; Robot; Artificial intelligence","score_opus":0.017138156569687903,"score_gpt":0.2752849058274562,"score_spread":0.25814674925776826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992065642","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":[0.03267843,0.00009350845,0.96228653,0.00015458014,0.000022077456,0.000111558315,0.000039068174,0.000104175844,0.0045100767],"genre_scores_gemma":[0.90305424,0.00018454797,0.09304473,0.000041072482,0.000018216488,0.0003944186,0.00006761873,0.000020983294,0.0031741066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879175,0.00047513025,0.000055109715,0.00019519335,0.00030184144,0.00018093541],"domain_scores_gemma":[0.9990402,0.00047974297,0.00011797348,0.000050678736,0.000115027404,0.0001963329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001414839,0.0010827674,0.0014472455,0.0005704619,0.00078751845,0.001359461,0.001700125,0.0010755782,0.002134501],"category_scores_gemma":[0.0018814909,0.00046002143,0.00078299246,0.00057762524,0.0011803366,0.0015199345,0.0018596887,0.0010368723,0.00016595142],"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":[0.00012562076,0.00008556075,0.00041495258,0.000057949812,0.000057079957,0.00025770473,0.00015177559,0.9088929,0.0017821207,0.074535795,0.00052722153,0.01311128],"study_design_scores_gemma":[0.00002753202,0.000050387673,0.00006434254,0.0000027581257,0.000010233949,0.000022836344,0.00001351733,0.9846443,0.0002729325,0.014535952,0.00034606265,0.000009064355],"about_ca_topic_score_codex":0.0058088675,"about_ca_topic_score_gemma":0.0033539427,"teacher_disagreement_score":0.0058088675,"about_ca_system_score_codex":0.0013696098,"about_ca_system_score_gemma":0.0024801982,"threshold_uncertainty_score":0.011550069},"labels":[],"label_agreement":null},{"id":"W2067611664","doi":"10.4236/ojop.2013.23010","title":"Human-Robot Collaborative Planning for Navigation Based on Optimal Control Theory","year":2013,"lang":"en","type":"article","venue":"Open Journal of Optimization","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"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 du Québec à Trois-Rivières","funders":"","keywords":"Architecture; Computer science; Control (management); Obstacle avoidance; Plan (archaeology); Obstacle; Process (computing); Motion planning; Control engineering; Robot; Set (abstract data type); Mode (computer interface); Human–computer interaction; Telerobotics; Trajectory; Human–robot interaction; Artificial intelligence; Mobile robot; Engineering","score_opus":0.02390240390056353,"score_gpt":0.3129645144843042,"score_spread":0.28906211058374065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067611664","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":[0.003714466,0.00015565043,0.9934155,0.00008335253,0.000017482424,0.00002084473,0.0000094050665,0.000052455252,0.002530893],"genre_scores_gemma":[0.7683857,0.0006580315,0.22426285,0.00009378146,0.00008115165,0.00037367106,0.000088546636,0.00006106528,0.005995255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999468,0.00017669969,0.000021159209,0.000104471976,0.00017186973,0.000057712183],"domain_scores_gemma":[0.99957174,0.00024180856,0.000047576938,0.000027618129,0.00008609075,0.000025222223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007835844,0.0008474152,0.0008570032,0.0004904636,0.0005204778,0.0008259676,0.00092099037,0.0007377259,0.0020966819],"category_scores_gemma":[0.001422974,0.00037819834,0.00069761276,0.0005427204,0.0011255885,0.0009306056,0.0010664292,0.0010239522,0.00025910093],"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":[0.000023392924,0.000019468504,0.00015052553,0.000040931427,0.000028063212,0.000048615566,0.00005483721,0.93677884,0.0006898183,0.048190914,0.00053536525,0.013439214],"study_design_scores_gemma":[0.0000035280484,0.000011489621,0.00003529686,0.0000025589056,0.000003982798,0.000004969892,0.000005399811,0.98726636,0.00013710414,0.012191761,0.00033404914,0.0000034771822],"about_ca_topic_score_codex":0.009010141,"about_ca_topic_score_gemma":0.0058975425,"teacher_disagreement_score":0.009010141,"about_ca_system_score_codex":0.001393584,"about_ca_system_score_gemma":0.0015739565,"threshold_uncertainty_score":0.017915368},"labels":[],"label_agreement":null},{"id":"W2293802244","doi":"10.4236/ojop.2016.51005","title":"Towards Optimizing a Personal Cooling Garment for Hot and Humid Deep Mining Conditions","year":2016,"lang":"en","type":"article","venue":"Open Journal of Optimization","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Heat stress; Clothing; Air cooling; Water cooling; Active cooling; Computer cooling; Environmental science; Process engineering; Mechanical engineering; Engineering; Geology; Law","score_opus":0.0563767135442711,"score_gpt":0.3515823526116317,"score_spread":0.2952056390673606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293802244","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":[0.7321471,0.0058846837,0.25638047,0.00025423564,0.00007395279,0.00013682793,0.0001673301,0.0003448134,0.004610656],"genre_scores_gemma":[0.85889304,0.00205579,0.13581477,0.00005222586,0.000026090438,0.00011655136,0.00016128094,0.000099705176,0.0027804135],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986625,0.000033152624,0.000009084531,0.000029294168,0.00004274223,0.000019442345],"domain_scores_gemma":[0.99989116,0.000026761825,0.000027178234,0.000012225028,0.00003333582,0.000009301925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038681494,0.00051584333,0.00052728766,0.0004513194,0.00021216253,0.0005672846,0.00038750772,0.00035167724,0.0012924931],"category_scores_gemma":[0.00036085796,0.00019407987,0.00035515986,0.0002864933,0.00019669697,0.00047286117,0.00037022578,0.00023947649,0.00038629054],"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":[0.0002811044,0.00012809203,0.002259957,0.0005450838,0.000035064688,0.00006720267,0.000078310855,0.022068074,0.91552764,0.00087952893,0.0003021755,0.057827756],"study_design_scores_gemma":[0.000063999905,0.0025621038,0.01799276,0.00022385741,0.00027871196,0.0005196391,0.00028879882,0.13519356,0.81566787,0.00143903,0.025692439,0.000077308025],"about_ca_topic_score_codex":0.0003998476,"about_ca_topic_score_gemma":0.0007743192,"teacher_disagreement_score":0.0012924931,"about_ca_system_score_codex":0.00016738391,"about_ca_system_score_gemma":0.00028595954,"threshold_uncertainty_score":0.00432384},"labels":[],"label_agreement":null}]}