{"id":"W6928932987","doi":"10.3886/e203582v1","title":"Gregstokes","year":2024,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cooke Aquaculture (Canada)","funders":"","keywords":"Product (mathematics); Identification (biology); Process (computing)","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":[0.001615372,0.003832988,0.002042081,0.007702393,0.001427051,0.00462858,0.002743515,0.00219242,0.4760478],"category_scores_gemma":[0.009300575,0.001176145,0.001757982,0.008635813,0.0006548267,0.002679165,0.004443924,0.001857906,0.5963011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262293,"about_ca_system_score_gemma":0.002178151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01429124,"about_ca_topic_score_gemma":0.02528665,"domain_scores_codex":[0.998297,0.0002943757,0.0001314952,0.0006192192,0.0003827677,0.0002751968],"domain_scores_gemma":[0.9963682,0.000800931,0.0002217361,0.001366787,0.000699352,0.0005429828],"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":[0.00003864388,0.000009600039,0.0002480265,0.0002298282,0.00001128166,0.000006875426,0.00001645632,0.00008807809,0.00007107751,0.0003390954,0.9964664,0.002474522],"study_design_scores_gemma":[0.00008834281,0.000009190725,0.0006544486,0.0001411969,0.00001525422,0.00002133295,0.00003984643,0.0002116313,0.0001950666,0.001511701,0.9970919,0.00002005952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008543264,0.00007746652,0.0001343259,0.00008371864,0.00004239221,0.00001221216,0.9934984,0.002757467,0.003308533],"genre_scores_gemma":[0.0004165092,0.00008394166,0.0004583664,0.0001444922,0.00001462731,0.00006321045,0.9937387,0.001466419,0.003613725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4760478,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0242332238007444,"score_gpt":0.2928719501234194,"score_spread":0.268638726322675,"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."}}