{"id":"W6926321947","doi":"10.24433/co.4592864.v2","title":"CoBE_NucleoATAC","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":[0.0001359107,0.0002960116,0.0003127008,0.0003264773,0.00006634463,0.00003087556,0.0006310816,0.0001651361,0.3637028],"category_scores_gemma":[0.000037891,0.000325744,0.0001045962,0.0002585312,0.0000804329,0.00001952523,0.0002996395,0.0003947951,0.05062155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812616,"about_ca_system_score_gemma":0.00006227809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000479883,"about_ca_topic_score_gemma":0.0001339242,"domain_scores_codex":[0.9985864,0.00008112814,0.0001390207,0.0004604168,0.00041089,0.0003221226],"domain_scores_gemma":[0.9987465,0.00001650821,0.0001927714,0.0009231223,0.00001096747,0.0001101599],"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":[0.000006247826,0.00004105971,0.0003476174,0.00003368619,0.00006018424,0.00007692226,0.00003857679,0.000001070801,0.00001701909,0.0009169282,0.9983189,0.000141756],"study_design_scores_gemma":[0.0002890347,0.00002105365,0.00004580362,0.00002962744,0.00004717056,0.00001039541,0.00004130117,0.00001297705,0.00000374392,0.00007496867,0.9990603,0.0003635962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003314541,0.001139104,0.000001577093,0.00004290943,0.0005580848,0.0002711815,0.003763512,0.00198788,0.9922026],"genre_scores_gemma":[0.0002734113,0.00003144929,0.0001645122,0.0002721482,0.0004886228,0.000005832285,0.0009800313,0.005533747,0.9922503],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3130813,"threshold_uncertainty_score":0.9999195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752893726026714,"score_gpt":0.2544749560646617,"score_spread":0.2369460188043946,"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."}}