{"id":"W4236114676","doi":"10.1515/iupac.76.0346","title":"Prosthetic Group","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Relation (database); Hazard; Computer science; Toxicology; Medicine; Pharmacology; Chemistry; Data mining; Biology; Linguistics; Philosophy","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":[0.001319647,0.001950615,0.00168802,0.005081088,0.001041042,0.004256696,0.00271043,0.001929129,0.4141482],"category_scores_gemma":[0.01236066,0.0007546835,0.001662623,0.007721061,0.0003750084,0.00354766,0.003191513,0.001800444,0.5235226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113847,"about_ca_system_score_gemma":0.002682945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007168332,"about_ca_topic_score_gemma":0.01216462,"domain_scores_codex":[0.9980896,0.0003095753,0.0003267548,0.0006271803,0.000411802,0.000235065],"domain_scores_gemma":[0.9951442,0.001234302,0.000442145,0.00144301,0.001178339,0.000557932],"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":[0.00004157376,0.00001148976,0.0003135276,0.0004898881,0.00001064964,0.00001017126,0.00001672204,0.00004645316,0.00005854314,0.0004936889,0.9914141,0.007093321],"study_design_scores_gemma":[0.00004001644,0.00000707792,0.0007608408,0.0002118065,0.000008238689,0.00002361628,0.00003497003,0.0000599,0.00006689622,0.0009111231,0.9978657,0.000009795282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009196632,0.0001954625,0.0002383349,0.0001735677,0.0001261994,0.00004535679,0.9918578,0.001173553,0.006097638],"genre_scores_gemma":[0.0003254469,0.0002320409,0.0007204178,0.0002650392,0.00004508691,0.0001628055,0.9927077,0.0003739494,0.005167557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4141482,"threshold_uncertainty_score":0.8356464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007675262788828385,"score_gpt":0.332743536109699,"score_spread":0.3250682733208706,"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."}}