{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008622516,0.0002438721,0.0003415858,0.0002165137,0.0001355487,0.0002322281,0.001390717,0.0001020578,0.00005666147],"category_scores_gemma":[0.0005623058,0.0002259701,0.0002255162,0.00005513208,0.00009444017,0.0004988378,0.0001693283,0.000516072,0.00002293829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005301604,"about_ca_system_score_gemma":0.00008870877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002363926,"about_ca_topic_score_gemma":6.728941e-7,"domain_scores_codex":[0.9977901,0.00003502351,0.000825156,0.0002178066,0.0007695503,0.0003623457],"domain_scores_gemma":[0.9981804,0.000129983,0.0004317631,0.000378136,0.0006301964,0.0002495151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009335202,0.002455109,0.04451729,0.0006983617,0.006307685,0.0008341841,0.0005694638,0.3633322,0.3158231,0.005172219,0.0320756,0.2272813],"study_design_scores_gemma":[0.009903614,0.0003655505,0.1548587,0.0005560524,0.0003734651,0.0008202519,0.0000320456,0.3459961,0.03615568,0.0009655714,0.4488923,0.001080664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4176848,0.000918191,0.5284321,0.002602375,0.04339574,0.001377442,0.0002274159,0.0003719114,0.004990049],"genre_scores_gemma":[0.9769077,0.0002253386,0.02079209,0.00005351038,0.00182895,0.00004258037,0.000006161707,0.00005695443,0.00008671077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5592229,"threshold_uncertainty_score":0.9214795,"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."}}