{"id":"W4253498220","doi":"10.1515/iupac.79.1865","title":"Prosthetic Group","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Multidisciplinary approach; Hazard; Toxicology; Library science; Chemistry; Philosophy; Linguistics; Biology; Political science; Law; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001037124,0.001233195,0.001390277,0.003324699,0.0007062292,0.002973581,0.00221564,0.001312159,0.371803],"category_scores_gemma":[0.01160249,0.0004744179,0.001655133,0.004840841,0.000252612,0.002109699,0.00194602,0.001425312,0.3703303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009664545,"about_ca_system_score_gemma":0.002696788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007603203,"about_ca_topic_score_gemma":0.01278618,"domain_scores_codex":[0.9985632,0.0002094878,0.0003016458,0.0004485837,0.0003117197,0.0001653068],"domain_scores_gemma":[0.9959368,0.0009738051,0.0005122871,0.001042834,0.00111715,0.000417099],"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":[0.0001393025,0.00001643262,0.001108334,0.0008898312,0.00003794687,0.00001962382,0.00001415069,0.00006306628,0.00005278751,0.0006376285,0.9816965,0.01532428],"study_design_scores_gemma":[0.0001279339,0.00001422015,0.002263386,0.0004858998,0.00003227366,0.00006315562,0.00003545846,0.00006863308,0.00007430524,0.001153208,0.9956691,0.0000124113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001832635,0.0003430026,0.0001993042,0.0002216806,0.0001405278,0.00006004931,0.9887459,0.0005078979,0.009598407],"genre_scores_gemma":[0.001022001,0.0005666989,0.0006991311,0.0005783033,0.0001142525,0.0002536349,0.9849903,0.0002501023,0.01152559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.371803,"threshold_uncertainty_score":0.8960467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277356847068827,"score_gpt":0.3766599556465975,"score_spread":0.3638863871759092,"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."}}