{"id":"W6910328028","doi":"10.48448/bmd4-mw85","title":"Best Paper Awards","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Government (linguistics); Key (lock); Work (physics); Quality (philosophy); Identification (biology)","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":[0.001354013,0.0004599674,0.0004059326,0.00157257,0.0005156957,0.000197144,0.002386335,0.0001781752,0.1601182],"category_scores_gemma":[0.0002588922,0.0004288813,0.00009450188,0.00286037,0.002202443,0.0002924989,0.001029964,0.0006543699,0.03257912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008123693,"about_ca_system_score_gemma":0.001776138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113035,"about_ca_topic_score_gemma":0.001858643,"domain_scores_codex":[0.9949697,0.00008170239,0.0003180939,0.001235696,0.002458663,0.000936184],"domain_scores_gemma":[0.9978071,0.00004281875,0.0003235287,0.00140951,0.0001058463,0.0003112192],"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":[0.00000335089,0.000171759,0.0001910859,0.00001826525,0.00002111489,0.00003701859,0.00006280703,0.00003699201,0.001881275,0.004726631,0.987788,0.005061734],"study_design_scores_gemma":[0.0002563377,0.00009472325,0.00004668175,0.00004285498,0.0000389432,0.00002766415,0.000245794,0.0003859727,0.00002802548,0.0003347888,0.9979434,0.0005547929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004650623,0.0006896852,0.00004726337,0.0003012436,0.001336895,0.0004134606,0.0005152464,0.0008701264,0.9957796],"genre_scores_gemma":[0.002040579,0.00005612356,0.004565654,0.0008589203,0.0007829305,0.0000620175,0.00019278,0.001518462,0.9899225],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1275391,"threshold_uncertainty_score":0.9998163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382127773825189,"score_gpt":0.3056009860853571,"score_spread":0.2817797083471052,"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."}}