{"id":"W7116122509","doi":"10.5281/zenodo.17976351","title":"In Vivo CRO Market - Size & Upcoming Industry Trends (2024-2032) | #in Vivo CRO Market","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; In vivo; Government (linguistics); Pharmaceutical industry; Food and drug administration; Preclinical research; Drug development","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001586819,0.001289519,0.0006168208,0.002344468,0.001435763,0.009450134,0.001511212,0.003531722,0.7455996],"category_scores_gemma":[0.005074631,0.0006072758,0.001043232,0.002197744,0.0005852423,0.00559438,0.002183091,0.002602787,0.7212614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002188777,"about_ca_system_score_gemma":0.00356371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006410697,"about_ca_topic_score_gemma":0.009127297,"domain_scores_codex":[0.9983062,0.0000854879,0.00005456525,0.0002341266,0.001062125,0.0002574447],"domain_scores_gemma":[0.9948106,0.0003713388,0.0002853556,0.0003789408,0.002681981,0.00147191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005880565,0.00005310217,0.0001981625,0.00006563235,0.000002054926,0.00003564866,0.00001073718,0.00004229077,0.0006462006,0.003618783,0.9601578,0.03511076],"study_design_scores_gemma":[0.00001613456,0.00003705867,0.0003764336,0.00002905231,0.000001542694,0.00003665139,0.00002047418,0.0001347684,0.0003197582,0.0003677757,0.9986511,0.000009323958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008771836,0.0003972656,0.00154512,0.003485487,0.003359116,0.0003027424,0.01562891,0.005059695,0.9693446],"genre_scores_gemma":[0.003734545,0.0004966012,0.001210613,0.002479452,0.0008606238,0.0001579625,0.01457447,0.002958876,0.9735267],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7455996,"threshold_uncertainty_score":0.3628712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389260508564028,"score_gpt":0.2884278590626329,"score_spread":0.2645352539769926,"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."}}