{"id":"W4231747732","doi":"10.1515/iupac.87.0387","title":"Motor Coordination","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005938646,0.00227637,0.001250646,0.002654814,0.0006482296,0.001910276,0.002387252,0.001292028,0.1223586],"category_scores_gemma":[0.007282622,0.0003914676,0.001284521,0.002771337,0.0002825109,0.001315576,0.001564778,0.001264426,0.1347089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024465,"about_ca_system_score_gemma":0.001376784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01704949,"about_ca_topic_score_gemma":0.03478287,"domain_scores_codex":[0.999132,0.00009614881,0.0001812072,0.0003243961,0.0001722663,0.00009410219],"domain_scores_gemma":[0.9977376,0.0005030176,0.0002936056,0.0005244479,0.0007752368,0.0001660231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000502718,0.00006350478,0.01055151,0.001527203,0.0001136263,0.00007636914,0.00003741322,0.0005958949,0.0001368516,0.0005638826,0.954304,0.03152694],"study_design_scores_gemma":[0.0003724193,0.0001085438,0.05094023,0.001175153,0.0001072018,0.0003418284,0.0001558744,0.001110232,0.0004978291,0.003377942,0.9417232,0.00008969015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008321691,0.0002622356,0.0002192708,0.00007877422,0.00007016615,0.00005541301,0.9931015,0.0005543436,0.004826144],"genre_scores_gemma":[0.002790909,0.000250947,0.0006290388,0.00008781717,0.0000233349,0.0002492793,0.9923309,0.0000778466,0.003559889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1223586,"threshold_uncertainty_score":0.4093304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193418409142692,"score_gpt":0.3786776403587108,"score_spread":0.3667434562672839,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}