{"id":"W4406559223","doi":"10.1016/s1885-9046(08)26047-2","title":"10.1016/s1885-9046(08)26047-2","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008437893,0.002846427,0.001459974,0.002151349,0.002089242,0.004012999,0.002873568,0.004459169,0.9860461],"category_scores_gemma":[0.001449374,0.001016683,0.001270129,0.002268475,0.001570878,0.004738507,0.003683271,0.002372343,0.9906081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019732,"about_ca_system_score_gemma":0.001031445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00436325,"about_ca_topic_score_gemma":0.005258796,"domain_scores_codex":[0.9995366,0.00003049263,0.00002943461,0.0001747952,0.0001460321,0.00008255378],"domain_scores_gemma":[0.9985082,0.0004162396,0.0000982172,0.0001819392,0.0003119405,0.0004835187],"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":[0.0001748643,0.0001303636,0.0004062331,0.0003994028,0.00001789355,0.0001340434,0.00008016214,0.0003166057,0.001442884,0.004662623,0.3644614,0.6277735],"study_design_scores_gemma":[0.00002639191,0.00007031723,0.0003917659,0.0002415903,0.000007250794,0.0001929711,0.00007653602,0.0001157973,0.0002013001,0.0006077783,0.9980533,0.00001497829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002038298,0.0004543434,0.0006888214,0.0002046588,0.0002188903,0.00006128047,0.0005201988,0.0009356849,0.9967124],"genre_scores_gemma":[0.0002484802,0.0001753719,0.0002791775,0.0001150782,0.00003743385,0.00002959683,0.0002454645,0.0001486946,0.9987207],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01395386,"threshold_uncertainty_score":0.01990348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2649508824168152,"score_gpt":0.4372311016606857,"score_spread":0.1722802192438704,"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."}}