{"id":"W2475276906","doi":"10.1093/ajhp/60.18.1908","title":"Neural networks: From science fiction to pharmacy","year":2003,"lang":"en","type":"article","venue":"American Journal of Health-System Pharmacy","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pharmacy; Nova scotia; Health science; Library science; Medicine; History; Sociology; Medical education; Family medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002403563,0.0002392959,0.0008226506,0.0003603326,0.0003202004,0.00006702831,0.0002880747,0.00001226574,0.0001629543],"category_scores_gemma":[0.0003048844,0.0001904732,0.0001946321,0.001270915,0.0002173176,0.0006093074,0.00003931105,0.0006587672,0.00003567321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005609402,"about_ca_system_score_gemma":0.000821046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006284879,"about_ca_topic_score_gemma":0.000001441639,"domain_scores_codex":[0.9961663,0.0006413106,0.001266003,0.0003207339,0.0009223762,0.0006832294],"domain_scores_gemma":[0.9962359,0.0003978132,0.00131984,0.000250828,0.0004033477,0.001392265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00430982,0.000777636,0.3268213,0.0002760645,0.0003996644,0.0003597485,0.001622178,0.00361743,0.006335122,0.000222791,0.008897395,0.6463609],"study_design_scores_gemma":[0.01255661,0.0033482,0.01476916,0.0007425869,0.0005733003,0.003440003,0.003708181,0.08008926,0.004555827,0.00000932936,0.8755566,0.0006508792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496335,0.003171048,0.007795862,0.03243548,0.004186255,0.0008088977,0.00001237694,0.00007486653,0.001881679],"genre_scores_gemma":[0.9857448,0.0003544521,0.00182006,0.01143412,0.0005826696,0.000007070256,0.000002023438,0.000030969,0.00002381331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8666593,"threshold_uncertainty_score":0.7767272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1216595993638518,"score_gpt":0.4501432211558003,"score_spread":0.3284836217919486,"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."}}