{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005146786,0.0004569321,0.0004967709,0.0001367055,0.000035707,0.00002433839,0.0005296082,0.0005691647,0.0005795277],"category_scores_gemma":[0.0002789971,0.0003492461,0.0001103402,0.0001609203,0.0001733816,0.00006775266,0.000130558,0.000637123,0.000005891733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005370313,"about_ca_system_score_gemma":0.00001529341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003406388,"about_ca_topic_score_gemma":0.00004435594,"domain_scores_codex":[0.9982796,0.00000897513,0.0003368837,0.0003505954,0.0005302117,0.0004936904],"domain_scores_gemma":[0.9988264,0.00005647643,0.00006736798,0.0008662959,0.00009201112,0.00009148976],"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":[0.00001276486,0.00002943235,4.417285e-7,0.0001812743,0.00004083327,0.00003901859,0.000001094856,0.00002659167,0.001479258,0.000008834068,0.9896442,0.008536212],"study_design_scores_gemma":[0.0003286107,0.00006135313,9.912364e-7,0.0002740422,0.00003453696,0.0000152509,0.000005519454,0.00001387165,0.003285208,0.0009473073,0.9945592,0.0004741634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002306094,0.001235794,0.000499156,0.0001199607,0.0004394634,0.0002268782,0.9957348,0.001462945,0.00005036538],"genre_scores_gemma":[0.0001127782,0.00195542,0.0002179528,0.00003435858,0.0003040742,0.00002915636,0.9971791,0.00008561386,0.00008156327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008062049,"threshold_uncertainty_score":0.9998959,"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."}}