{"id":"W6980301528","doi":"","title":"2022-10-16 - BTWRLM494 - All Coming Together","year":2022,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Dietary Effects on Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jury; Coronavirus disease 2019 (COVID-19); Value (mathematics); Sanctions; Pandemic; Censorship; Luck","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0006149764,0.001448991,0.00205536,0.001605191,0.00005924874,0.0001035954,0.001559692,0.0003359997,0.3659134],"category_scores_gemma":[0.0002384254,0.001373849,0.001038021,0.000232873,0.0005935913,0.00009073928,0.001913047,0.002725921,0.007990801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004807101,"about_ca_system_score_gemma":0.000349756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02525163,"about_ca_topic_score_gemma":0.01897934,"domain_scores_codex":[0.9929006,0.001045872,0.001188723,0.002048542,0.001236605,0.001579728],"domain_scores_gemma":[0.9954132,0.000878562,0.0008160461,0.001866317,0.00004118928,0.000984679],"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":[0.001602037,0.0006183857,0.002009616,0.001047594,0.001895213,0.001287974,0.002000407,0.000002401773,0.000240781,0.001022909,0.9866708,0.001601899],"study_design_scores_gemma":[0.00269339,0.002522501,0.0005148348,0.002009821,0.0004945255,0.0004691052,0.000141899,0.0009035783,0.0001122587,0.0006367469,0.9883628,0.00113853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001035433,0.001828052,0.001325029,0.0008832475,0.001916645,0.002901575,0.001354053,0.0009893421,0.9877666],"genre_scores_gemma":[0.003360272,0.0004688049,0.002572598,0.005802512,0.001565426,0.0004286042,0.005299756,0.002013664,0.9784884],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3579226,"threshold_uncertainty_score":0.999826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972066598365738,"score_gpt":0.2877343212814945,"score_spread":0.2680136552978371,"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."}}