{"id":"W4229866504","doi":"10.1515/iupac.76.0331","title":"Pharmacology","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Hazard; Relation (database); Toxicology; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.001360819,0.00158231,0.001583985,0.004177365,0.0008173991,0.003634586,0.002158188,0.001532944,0.2207135],"category_scores_gemma":[0.01093609,0.0006694095,0.001421573,0.007107151,0.0003766987,0.002433311,0.002031335,0.001781047,0.2115042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761473,"about_ca_system_score_gemma":0.003479538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070473,"about_ca_topic_score_gemma":0.02137853,"domain_scores_codex":[0.998143,0.000354388,0.00035557,0.0005228712,0.0004850965,0.0001390863],"domain_scores_gemma":[0.9952657,0.001781454,0.0006100131,0.0009544154,0.001049464,0.000338932],"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":[0.0001156131,0.0000264021,0.0007950895,0.002944553,0.00003981373,0.0000321371,0.00002963874,0.0002042954,0.0002096099,0.00123725,0.9764211,0.01794452],"study_design_scores_gemma":[0.00005992475,0.00001083944,0.001687294,0.0005170706,0.00002235122,0.00005085733,0.00002232708,0.00007931104,0.000140449,0.001091972,0.9963036,0.00001396977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001074236,0.0006147694,0.0002511928,0.0001379802,0.00004891908,0.00003043036,0.9935697,0.0005714202,0.004668103],"genre_scores_gemma":[0.0005214975,0.0007844509,0.0008693507,0.0002738782,0.00002260823,0.0001432527,0.9938113,0.0001820906,0.003391621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2207135,"threshold_uncertainty_score":0.7383602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118634523979054,"score_gpt":0.3952891302265736,"score_spread":0.3834256778286682,"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."}}