{"id":"W6945250356","doi":"10.24433/co.9813550.v1","title":"CoBE_cellranger atac example","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":"Column (typography); Code (set theory); Key (lock); Order (exchange); Source code","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":[0.0002463638,0.0004337274,0.0004577586,0.0003960394,0.0000960077,0.00004358408,0.0007478325,0.0002267579,0.3901061],"category_scores_gemma":[0.00003337647,0.0004703083,0.0001538383,0.0003514246,0.000112806,0.00002875808,0.0003697928,0.0004739487,0.04199781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233161,"about_ca_system_score_gemma":0.00009395235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004141848,"about_ca_topic_score_gemma":0.0005151192,"domain_scores_codex":[0.9979116,0.0001417559,0.0002060553,0.0007107829,0.0005389776,0.000490853],"domain_scores_gemma":[0.9982005,0.00004552933,0.0002527284,0.001320119,0.0000195331,0.0001615935],"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":[0.00001133466,0.0000612202,0.0006909348,0.00006545987,0.00009015478,0.00007433924,0.00009959465,0.000002015881,0.00003992386,0.0004322032,0.9982516,0.0001812374],"study_design_scores_gemma":[0.0004406039,0.00002483139,0.00005497445,0.0000361554,0.00007630909,0.00001007516,0.00004477321,0.00001105533,0.00001866627,0.00006021036,0.9986848,0.0005376086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007113763,0.003407805,0.00001120996,0.00002631337,0.0007212865,0.0004604951,0.003629069,0.001727318,0.9899454],"genre_scores_gemma":[0.0002200393,0.000070513,0.0002347327,0.0002448065,0.0006737589,0.00001747455,0.002671479,0.005520085,0.9903471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3481084,"threshold_uncertainty_score":0.9997749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409420343030232,"score_gpt":0.2537335184538891,"score_spread":0.2196393150235868,"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."}}