{"id":"W6888963238","doi":"10.24433/co.9445369.v2","title":"CoBE_Hi-C_cooltools","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":[0.0002092403,0.0004205017,0.0004554469,0.000452886,0.00009083781,0.00005475656,0.0007885995,0.00022051,0.2979718],"category_scores_gemma":[0.00007904289,0.0004644606,0.0001648582,0.0004076318,0.00009766853,0.00002738851,0.0003927557,0.0005379168,0.05163391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758047,"about_ca_system_score_gemma":0.0001383983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006122181,"about_ca_topic_score_gemma":0.0002222464,"domain_scores_codex":[0.998025,0.0001273618,0.0002131775,0.000622039,0.0005693465,0.0004430528],"domain_scores_gemma":[0.9983262,0.00003600022,0.0002783364,0.001189402,0.00002166178,0.0001484387],"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":[0.00001212871,0.00005367849,0.0003999708,0.00004756987,0.0000898316,0.00008947616,0.00004232152,0.000003161095,0.00002037011,0.001113797,0.9977142,0.000413541],"study_design_scores_gemma":[0.000402235,0.0000302582,0.00005714658,0.00005131051,0.00007084473,0.00001559519,0.00003357366,0.00001903774,0.000006595792,0.0001029247,0.9986869,0.0005236549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002786979,0.00205393,0.000008465799,0.0000455976,0.000732918,0.0004745276,0.003995313,0.00222172,0.9904397],"genre_scores_gemma":[0.0003747905,0.00004853688,0.00017415,0.0002703203,0.0006248272,0.00001840772,0.001180022,0.005373402,0.9919356],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2463379,"threshold_uncertainty_score":0.9997807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103931149853379,"score_gpt":0.2586323149069224,"score_spread":0.2375930034083886,"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."}}