{"id":"W4393576666","doi":"10.1101/2024.04.01.587600","title":"Study Design and Interim Analysis of the Cancer Lifetime Assessment Screening Study in Canines (CLASSiC): The First Prospective Cancer Screening Study in Dogs Using Next-Generation Sequencing-Based Liquid Biopsy","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Prospective cohort study; Interim; Interim analysis; Internal medicine; Biopsy; Liquid biopsy; Clinical trial; Concordance; Incidence (geometry); Oncology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01115773,0.00123132,0.001872687,0.0006837313,0.0006392398,0.001067135,0.0008420146,0.0009896391,0.002246897],"category_scores_gemma":[0.01013959,0.0006607503,0.002720886,0.0006554449,0.0005067601,0.0007736971,0.0008536197,0.001173379,0.000418401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008959067,"about_ca_system_score_gemma":0.001644057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009538452,"about_ca_topic_score_gemma":0.00125487,"domain_scores_codex":[0.9936635,0.00340864,0.0004628172,0.00107398,0.0008507561,0.0005402755],"domain_scores_gemma":[0.9935513,0.001679146,0.001575127,0.001836422,0.0008617131,0.0004963223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.3518673,0.006124265,0.5804541,0.0007400385,0.008459852,0.0005722546,0.0003075797,0.003284661,0.00569688,0.0009255114,0.004928243,0.03663945],"study_design_scores_gemma":[0.02464395,0.1741866,0.7536365,0.0001829155,0.01307361,0.0009022147,0.000412321,0.009163806,0.007666204,0.001356859,0.01459288,0.0001822059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9770295,0.001371362,0.008607031,0.0001816466,0.0002338259,0.004542687,0.005841145,0.0001081665,0.002084635],"genre_scores_gemma":[0.9753007,0.000161082,0.007525919,0.0003325968,0.0001155347,0.008065605,0.007017936,0.00003061704,0.001450104],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.01115773,"threshold_uncertainty_score":0.05900848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05837692748010051,"score_gpt":0.3071155450625968,"score_spread":0.2487386175824963,"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."}}