{"id":"W2772421738","doi":"10.66617/001c.2576","title":"Excipient Usage Technical Risk Assessment for Generic Solid Dose Products","year":2017,"lang":"en","type":"article","venue":"International Journal of Pharmaceutical Excipients","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex (Canada)","funders":"","keywords":"Excipient; Risk analysis (engineering); Business; Chemistry; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006056345,0.001149648,0.000590267,0.00364559,0.0005282779,0.002145368,0.001364239,0.0008816565,0.002394905],"category_scores_gemma":[0.0095328,0.000329266,0.00133886,0.0009536394,0.0007851884,0.0017117,0.001379292,0.0007331676,0.0007095392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009226864,"about_ca_system_score_gemma":0.001416001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009047312,"about_ca_topic_score_gemma":0.001095977,"domain_scores_codex":[0.9901398,0.002543034,0.0006035923,0.0006354598,0.005882445,0.0001956424],"domain_scores_gemma":[0.99323,0.002354364,0.001547592,0.0007667019,0.002018007,0.00008329875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003612422,0.0003055772,0.02591488,0.00132674,0.0002720191,0.0008512759,0.0008589231,0.13257,0.06015107,0.06540658,0.003197065,0.7087847],"study_design_scores_gemma":[0.00005008638,0.002624649,0.03368715,0.0008925003,0.0005520413,0.003624132,0.00108995,0.6721984,0.1410795,0.08786101,0.05603093,0.00030971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05230646,0.001153422,0.9297611,0.000275171,0.00003662595,0.000456862,0.0001815835,0.0004791177,0.01534972],"genre_scores_gemma":[0.5614062,0.001524135,0.4296738,0.00008987523,0.00004717942,0.0003141055,0.0003319832,0.0001273588,0.006485344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006056345,"threshold_uncertainty_score":0.03202939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04343376162146542,"score_gpt":0.3841902321516666,"score_spread":0.3407564705302012,"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."}}