{"id":"W4385590697","doi":"10.59962/9780774864930-002","title":"Acknowledgments","year":2021,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wilfrid Laurier University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003157145,0.0001848478,0.0005513508,0.00003823022,0.0002649312,0.00005364923,0.0005596009,0.0008554526,0.01794628],"category_scores_gemma":[0.00005271965,0.0004447905,0.0002796727,0.000009247771,0.0007042742,0.0001119916,0.0004459686,0.001549522,0.00008547774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008204693,"about_ca_system_score_gemma":0.0002663959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008585024,"about_ca_topic_score_gemma":0.02311776,"domain_scores_codex":[0.9983833,0.0001800648,0.0002905398,0.0004978817,0.0003112837,0.0003369238],"domain_scores_gemma":[0.9983544,0.0002888676,0.0004039892,0.0002696853,0.0003028439,0.000380216],"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":[0.0001593556,0.0002307535,0.00005398892,0.0005010932,0.001407554,0.003891548,0.0002647271,0.000002925549,0.0002570213,0.002310709,0.7550361,0.2358842],"study_design_scores_gemma":[0.001762011,0.00005661114,0.00004074513,0.0003688378,0.0008569155,0.00009279938,0.00004594632,0.00003067249,0.0001043727,0.0006465724,0.9956191,0.0003754729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001280097,0.002720352,0.0000158363,0.00003574219,0.001239942,0.000375511,0.0009340175,0.00008641258,0.9933121],"genre_scores_gemma":[0.004448865,0.00374413,0.0001062517,0.0005156898,0.0002099168,8.055468e-7,0.00009532778,0.00003742442,0.9908416],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.240583,"threshold_uncertainty_score":0.9998004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1168373553496877,"score_gpt":0.3467850215096477,"score_spread":0.22994766615996,"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."}}