{"id":"W4244311063","doi":"10.1515/iupac.79.1170","title":"Drug","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Drug; Computer science; Medicine; Pharmacology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001399405,0.0009181118,0.001126417,0.0005688836,0.0001600652,0.0001179987,0.001257113,0.0005085379,0.02143074],"category_scores_gemma":[0.001278605,0.0006790341,0.0003530966,0.0004208032,0.0003460243,0.0001855107,0.0004627483,0.0009189653,0.0005054284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565436,"about_ca_system_score_gemma":0.001917009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002796458,"about_ca_topic_score_gemma":0.004019975,"domain_scores_codex":[0.9941714,0.0002358852,0.0007685069,0.001010214,0.002851702,0.000962308],"domain_scores_gemma":[0.995498,0.0001761692,0.0005821899,0.00237052,0.0009623386,0.0004108082],"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":[0.0002825223,0.0002857277,0.00000369994,0.0001259453,0.0001908869,0.0001995265,0.000009100888,4.421565e-7,0.0000202497,0.000008390833,0.9975764,0.00129712],"study_design_scores_gemma":[0.001555129,0.00008757186,0.00001011854,0.0006889622,0.0002404399,0.00002996065,0.00001369078,9.953422e-7,0.00003340278,0.0002214166,0.9962056,0.0009127313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003522569,0.001069422,0.00001732424,0.0005704341,0.001474764,0.0004690013,0.9958101,0.0003846005,0.000169117],"genre_scores_gemma":[0.000002822856,0.0004804365,0.00004726064,0.0002829037,0.002650251,0.00002662282,0.9936403,0.0002816207,0.002587777],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02092531,"threshold_uncertainty_score":0.9995661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340186830435152,"score_gpt":0.4102734590720497,"score_spread":0.3968715907676982,"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."}}