{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001979819,0.0003268154,0.0002456614,0.00008504393,0.00005815829,0.0001991197,0.001666888,0.0004128408,0.0001376945],"category_scores_gemma":[0.0002619585,0.0003283443,0.00008952874,0.00009630679,0.00009958395,0.000004581177,0.002554083,0.0002910548,0.001715845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002378103,"about_ca_system_score_gemma":0.0002159309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002621012,"about_ca_topic_score_gemma":0.0003858008,"domain_scores_codex":[0.9982482,0.00001442749,0.0002571836,0.0009873068,0.0001805822,0.0003123278],"domain_scores_gemma":[0.9966564,0.00002350512,0.0001073042,0.003054125,0.00004214182,0.000116492],"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":[0.00001532484,0.00002629863,0.000004967226,0.0001304973,0.0001034495,0.00004012184,0.000002131378,0.000001808608,0.001111566,0.00001165703,0.9978852,0.000666945],"study_design_scores_gemma":[0.0001436628,0.00008565476,0.000005938612,0.00007183407,0.000174045,0.00003388959,0.000006894667,0.000007786592,0.0008272841,0.00006827544,0.9981736,0.0004011684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002926657,0.01127231,0.000009826287,0.0001822514,0.001721239,0.0001528952,0.9862189,0.00001730528,0.0001326618],"genre_scores_gemma":[0.00006897038,0.01505529,0.0001367048,0.0009142411,0.002279382,0.00001943884,0.9811041,0.00005101095,0.0003709043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005114781,"threshold_uncertainty_score":0.9999169,"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."}}