{"id":"W4249561914","doi":"10.1515/iupac.87.0562","title":"Quadriplegia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Engineering ethics; Chemistry; Linguistics; Engineering; 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":[0.0006072729,0.001468474,0.001139195,0.002351694,0.0006337297,0.002088427,0.001851087,0.00119092,0.09045576],"category_scores_gemma":[0.005774552,0.0003431879,0.001234389,0.003887663,0.0003189107,0.001462228,0.00209477,0.001164726,0.148183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103997,"about_ca_system_score_gemma":0.001583211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368619,"about_ca_topic_score_gemma":0.02719524,"domain_scores_codex":[0.9991884,0.0001278368,0.0001560851,0.0002747114,0.000128943,0.0001240201],"domain_scores_gemma":[0.9987805,0.0002899226,0.0001778031,0.0002659587,0.0003660135,0.0001198413],"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":[0.0001481731,0.00001923876,0.001637911,0.0009677041,0.00002978414,0.00003721172,0.0000265477,0.000189104,0.00007483456,0.0005708423,0.9878956,0.008402987],"study_design_scores_gemma":[0.0001860819,0.00002331923,0.005662937,0.0005757213,0.00002997038,0.0001314752,0.0001010937,0.0003550598,0.0002209509,0.001435657,0.9912544,0.00002337963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003440174,0.000209443,0.0001271377,0.0001030036,0.00004694589,0.00003227668,0.9964262,0.0003771257,0.002333873],"genre_scores_gemma":[0.0008682421,0.0001845024,0.0002849501,0.0001357078,0.00001485351,0.0001566237,0.9964102,0.00006082225,0.001884125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09045576,"threshold_uncertainty_score":0.3026047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008860397770803961,"score_gpt":0.334575730725047,"score_spread":0.3257153329542431,"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."}}