{"id":"W6907800615","doi":"10.24433/co.6188189.v1","title":"CoBE_ConsensusCruncher","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":[0.0001905789,0.0003743671,0.0003793573,0.0003729707,0.00006700498,0.00002977366,0.0005274658,0.0002226857,0.3247683],"category_scores_gemma":[0.00008642874,0.000404703,0.0001402924,0.000301881,0.0001236956,0.00001129567,0.0002788308,0.0004828266,0.03606441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271205,"about_ca_system_score_gemma":0.0001481631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007964481,"about_ca_topic_score_gemma":0.0002330069,"domain_scores_codex":[0.9983137,0.0001436757,0.0001753279,0.0005479848,0.0004338358,0.0003854823],"domain_scores_gemma":[0.9985601,0.00003652402,0.0002299763,0.001022321,0.00002106567,0.0001299591],"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":[0.000009194352,0.00004215495,0.0007002547,0.0000353926,0.0001038242,0.000113684,0.00004098415,0.000001089344,0.00002997306,0.000667019,0.9980563,0.0002001533],"study_design_scores_gemma":[0.00036403,0.00001738968,0.00005308581,0.00003594034,0.00006842017,0.00001721989,0.00004801081,0.00001270423,0.000005241584,0.00007223662,0.998844,0.0004617573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004236153,0.002579515,0.000002976559,0.00008345196,0.0006744252,0.0003510658,0.002050449,0.00201841,0.9921973],"genre_scores_gemma":[0.0003289714,0.00002888219,0.0002042065,0.0003062881,0.000478979,0.000009374944,0.0005685062,0.005284907,0.9927899],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2887039,"threshold_uncertainty_score":0.9998405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582724992461467,"score_gpt":0.2626731530827298,"score_spread":0.2368459031581151,"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."}}