{"id":"W6963973184","doi":"10.24433/co.2250323.v1","title":"CoBE_CopyscAT","year":2022,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Code (set theory); Identification (biology); Key (lock); Column (typography); Order (exchange)","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":["insufficient_payload"],"category_scores_codex":[0.0001394705,0.0003133941,0.000325518,0.0003567795,0.00006228131,0.00002843924,0.0006463432,0.0001654251,0.2965818],"category_scores_gemma":[0.00004034608,0.0003407269,0.0001178765,0.0002919068,0.00008129405,0.00001586328,0.0002984568,0.0003772298,0.0471734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272664,"about_ca_system_score_gemma":0.00009256957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000439614,"about_ca_topic_score_gemma":0.0001461604,"domain_scores_codex":[0.9985505,0.0000883535,0.0001414638,0.0004772801,0.0004076227,0.0003347844],"domain_scores_gemma":[0.9987159,0.00002049884,0.0001951806,0.0009414398,0.00001341677,0.0001135127],"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":[0.000006843056,0.00003713712,0.0004198918,0.00003826419,0.0000609001,0.00004674377,0.00003995168,0.000001387592,0.00001380048,0.0006563335,0.9984916,0.0001871248],"study_design_scores_gemma":[0.0002629483,0.00002016203,0.00002824494,0.00003504569,0.00005015275,0.00001026109,0.00002821223,0.0000137548,0.000007991327,0.00008142333,0.9990841,0.0003776803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001727028,0.002759057,0.000005563069,0.00004524525,0.0006709395,0.0002999736,0.001974472,0.002060201,0.9921673],"genre_scores_gemma":[0.0002894501,0.00005067954,0.0001561717,0.0002106083,0.0004958772,0.000009977231,0.0008669297,0.005265267,0.992655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2494084,"threshold_uncertainty_score":0.9999045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739701500040046,"score_gpt":0.2603882779322757,"score_spread":0.2429912629318752,"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."}}