{"id":"W4235345556","doi":"10.1515/iupac.88.1411","title":"Tetracycline","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.0017242,0.001078905,0.001309465,0.00377993,0.0007491384,0.003534358,0.002012006,0.001513605,0.2500262],"category_scores_gemma":[0.01761143,0.0005705177,0.001481347,0.006840479,0.0004260259,0.002853469,0.001997408,0.001683401,0.2382417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421675,"about_ca_system_score_gemma":0.002732767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155276,"about_ca_topic_score_gemma":0.0193211,"domain_scores_codex":[0.9970514,0.0005445433,0.0007062405,0.000872467,0.0005753869,0.0002499263],"domain_scores_gemma":[0.992765,0.002287487,0.000910964,0.001566421,0.002110692,0.0003594759],"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":[0.000105479,0.00001270312,0.001038969,0.001343765,0.00002807818,0.00002119804,0.00003011651,0.00007817137,0.0000901457,0.001156626,0.9869837,0.009111207],"study_design_scores_gemma":[0.0000937467,0.00001041408,0.002094326,0.0006908583,0.00001847902,0.00004762011,0.00005494077,0.0000741012,0.00009612216,0.00100123,0.9958029,0.00001521162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001537877,0.0002228152,0.0002093426,0.0002212073,0.0001110332,0.00005056009,0.9932787,0.0004717647,0.005280795],"genre_scores_gemma":[0.0006664126,0.0003033613,0.0005738898,0.0004681475,0.00004474499,0.0002177481,0.9934442,0.0002120506,0.004069414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2500262,"threshold_uncertainty_score":0.8364208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884562278514126,"score_gpt":0.4784450071063217,"score_spread":0.4495993843211804,"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."}}