{"id":"W1623411102","doi":"10.1111/anae.13165","title":"Probability screening in manuscripts submitted to biomedical journals – an effective tool or a statistical quagmire?","year":2015,"lang":"en","type":"letter","venue":"Anaesthesia","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Originality; Scientific misconduct; Context (archaeology); Medicine; Misconduct; Test (biology); Computer science; Alternative medicine; Creativity; Law; Political science; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.1548242,0.0008612997,0.007438723,0.001652271,0.0001371764,0.001820334,0.003485886,0.0009241881,0.009593033],"category_scores_gemma":[0.07494812,0.0004099953,0.001176263,0.003261162,0.0002123656,0.000420171,0.000228782,0.001758206,0.003911847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002033571,"about_ca_system_score_gemma":0.000391022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002097994,"about_ca_topic_score_gemma":0.0005278646,"domain_scores_codex":[0.9390441,0.03505658,0.01096868,0.002518321,0.01149508,0.0009172595],"domain_scores_gemma":[0.9834845,0.005136886,0.003617587,0.005229178,0.001796327,0.0007355436],"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":[0.00005937001,0.0001008413,0.005067897,0.00008571007,0.000123979,0.00131308,0.0003811358,0.000005571834,0.000001914622,0.00006817059,0.916721,0.07607133],"study_design_scores_gemma":[0.000339235,0.0004239304,0.03782807,0.0002787133,0.0002480549,0.000104623,0.0001381126,0.001211672,7.598909e-7,0.005903407,0.9529509,0.0005725514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1116076,0.0007018511,0.1127913,0.7625297,0.0007218728,0.01022731,0.0003303717,0.00004436353,0.001045634],"genre_scores_gemma":[0.02884651,0.00003935213,0.1614869,0.7769763,0.004713665,0.002081736,0.0007230774,0.0002941561,0.02483826],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08276105,"threshold_uncertainty_score":0.9998352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7164900710100301,"score_gpt":0.5170891096463203,"score_spread":0.1994009613637099,"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."}}