{"id":"W4392841334","doi":"10.2139/ssrn.4709850","title":"Maximizing Insights from Preclinical Safety Studies in the Context of Rising Costs and NHP Shortages","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Emka Technologies (Canada)","funders":"","keywords":"Economic shortage; Context (archaeology); Risk analysis (engineering); Business; Geography","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":[0.02418957,0.0008841939,0.001783526,0.002378874,0.0004915532,0.004392835,0.0009012501,0.002436312,0.007696358],"category_scores_gemma":[0.1290086,0.0004389742,0.0007766837,0.001930484,0.001433596,0.004897019,0.002504708,0.003138019,0.0004104432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002680072,"about_ca_system_score_gemma":0.003648298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003268238,"about_ca_topic_score_gemma":0.003649444,"domain_scores_codex":[0.9910891,0.007035856,0.0003369424,0.0004606414,0.0006109134,0.0004664733],"domain_scores_gemma":[0.8362287,0.1403689,0.01250969,0.003580908,0.004440628,0.002871114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002835902,0.0009219176,0.1178519,0.003599497,0.001341136,0.002801795,0.001735184,0.1035208,0.001768665,0.4201776,0.04123936,0.3022062],"study_design_scores_gemma":[0.0001086958,0.0003587331,0.02281522,0.0007778864,0.0003307389,0.0003247247,0.00125692,0.03400335,0.0007151159,0.927403,0.01185939,0.00004621736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.421667,0.06355605,0.1650133,0.21988,0.001340774,0.0005520053,0.007845222,0.0001904704,0.1199552],"genre_scores_gemma":[0.9765237,0.008534049,0.008727061,0.002626653,0.0009250786,0.00008091766,0.0005663558,0.00003021703,0.00198602],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02418957,"threshold_uncertainty_score":0.1279283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3359035317000257,"score_gpt":0.4648671316213791,"score_spread":0.1289635999213534,"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."}}