{"id":"W4402850765","doi":"10.7324/japs.2024.204337","title":"A deep dive into the development of complex generics: A comprehensive review","year":2024,"lang":"en","type":"review","venue":"Journal of Applied Pharmaceutical Science","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Development (topology); Computer science; Artificial intelligence; History; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003146279,0.0004557463,0.002629161,0.0005033814,0.0002371954,0.0001395962,0.002146342,0.0001300714,0.0003842646],"category_scores_gemma":[0.0001085485,0.000301004,0.0007144983,0.001548014,0.001024557,0.0001460637,0.0007189109,0.001116937,0.0006513253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005322319,"about_ca_system_score_gemma":0.0008933994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002007137,"about_ca_topic_score_gemma":8.81648e-7,"domain_scores_codex":[0.9951764,0.0000384333,0.00342641,0.0005352015,0.0002538005,0.000569751],"domain_scores_gemma":[0.9964669,0.0003057017,0.002179114,0.0003906795,0.0001703554,0.000487254],"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":[0.00001432652,0.0001082008,6.521693e-7,0.02445067,0.000434062,0.000008339852,0.000886594,0.00001188431,0.00001410315,0.05963875,0.002686612,0.9117458],"study_design_scores_gemma":[0.0001764825,0.00002452129,0.000002280034,0.003232657,0.0004677812,0.00004465815,0.0000244382,0.0006636458,0.00001564971,0.006158083,0.9888595,0.0003303362],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001247738,0.988327,0.000471956,0.0007805408,0.00063032,0.0006583129,0.00003315332,0.000008810282,0.009077436],"genre_scores_gemma":[0.0002084055,0.9920221,0.004223447,0.003168237,0.0002855329,0.00003766744,0.000004129159,0.00003721234,0.00001324267],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9861729,"threshold_uncertainty_score":0.9999442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2680096304794203,"score_gpt":0.4341769383398563,"score_spread":0.1661673078604359,"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."}}