{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007693031,0.0007003571,0.00111649,0.0004497539,0.000376667,0.00001959925,0.0009814807,0.001952702,0.06204733],"category_scores_gemma":[0.0005499246,0.0005250667,0.0003429727,0.0001768266,0.001010388,0.00009940926,0.0004242943,0.001451731,0.0002383898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003611892,"about_ca_system_score_gemma":0.001322452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005492302,"about_ca_topic_score_gemma":0.00006331407,"domain_scores_codex":[0.9965344,0.0008743322,0.0007415967,0.0007111522,0.0001410189,0.0009975196],"domain_scores_gemma":[0.9976993,0.0005202133,0.0004361722,0.0009077127,0.0003895001,0.00004709138],"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":[0.002147024,0.0004881982,0.000004169483,0.00006204495,0.00107152,0.00009635659,0.00001137465,1.220862e-7,0.02076907,0.000009214423,0.9719261,0.003414828],"study_design_scores_gemma":[0.003465199,0.0006720842,0.00005299409,0.0001582387,0.0003897616,0.0002930017,0.000018383,3.371029e-8,0.01184849,0.00004618114,0.9824367,0.0006189065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006594968,0.01832092,0.0000200543,0.0009900403,0.009188606,0.0004809646,0.9701157,0.0001469462,0.00007733323],"genre_scores_gemma":[0.0001096278,0.004001148,0.000003630759,0.001164988,0.0004210486,0.00007035642,0.9850144,0.00005103344,0.009163804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06180894,"threshold_uncertainty_score":0.9997201,"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."}}