{"id":"W7116186900","doi":"10.5281/zenodo.17976352","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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003368175,0.0005671986,0.0008086172,0.001226601,0.001632891,0.0006956258,0.001837134,0.001442611,0.96495],"category_scores_gemma":[0.002234722,0.0006041725,0.000227201,0.002893684,0.0009608142,0.0003562367,0.002668922,0.002945975,0.0002256842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007668866,"about_ca_system_score_gemma":0.00005439215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004271877,"about_ca_topic_score_gemma":0.00008658846,"domain_scores_codex":[0.9929596,0.00298185,0.001140936,0.001298921,0.0002132525,0.001405469],"domain_scores_gemma":[0.9977185,0.0004842978,0.0002654207,0.0009664357,0.0003657745,0.0001996142],"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":[0.001234723,0.0006624162,0.0002605798,0.0001704369,0.0002521839,0.0001054836,0.0005376464,0.000007452512,0.001980642,0.0008876331,0.980723,0.01317784],"study_design_scores_gemma":[0.002524879,0.0003319759,0.005365603,0.0003774448,0.00009805797,0.00007201807,0.0006033778,0.0002579819,0.004220046,0.0002855771,0.9853234,0.0005396121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001370113,0.0009253951,0.0001369184,0.005298939,0.001150129,0.0005135995,0.0005946867,0.0001852441,0.989825],"genre_scores_gemma":[0.01468055,0.0004763684,0.0003299875,0.00122564,0.0001216014,2.174576e-7,0.000003993108,0.0007356428,0.982426],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9647243,"threshold_uncertainty_score":0.9998537,"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."}}