{"id":"W2733427969","doi":"10.1097/ede.0000000000000706","title":"Re","year":2017,"lang":"war","type":"letter","venue":"Epidemiology","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Proposition; Bayes' theorem; Belief revision; Mistake; Epistemology; Set (abstract data type); Point (geometry); Mathematical economics; Computer science; Psychology; Mathematics; Philosophy; Artificial intelligence; Bayesian probability; Law; Political science","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":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004790631,0.0008288969,0.002122558,0.0002071108,0.0007760199,0.0001782436,0.006150378,0.002929359,0.0004345609],"category_scores_gemma":[0.006227716,0.0007542875,0.0005458635,0.0001107487,0.0008114095,0.0003387582,0.001293933,0.004302784,0.005435518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091721,"about_ca_system_score_gemma":0.0004484171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005290182,"about_ca_topic_score_gemma":0.00003303525,"domain_scores_codex":[0.9915531,0.002677785,0.001395201,0.002254202,0.0002597368,0.001859967],"domain_scores_gemma":[0.9889456,0.004298847,0.001563402,0.004646767,0.0002321872,0.0003132077],"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":[0.000005028936,0.00001809008,0.0005937335,0.00008403759,0.00007700211,0.0004500884,0.0001676779,0.0000725583,0.000003336112,0.01536595,0.9598945,0.02326804],"study_design_scores_gemma":[0.0001876176,0.0001870391,0.0006273465,0.0003118196,0.00004734047,0.000110932,0.000004560618,0.04637834,0.000006084084,0.1150036,0.8363066,0.0008287051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00003299108,0.002031025,0.4240409,0.5534668,0.004862518,0.0001531259,0.0000231512,0.0001573894,0.0152321],"genre_scores_gemma":[0.01492061,0.0009614012,0.04953383,0.8884693,0.01314431,0.00006945118,0.0001425632,0.00008876327,0.03266971],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3745071,"threshold_uncertainty_score":0.9994908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1974301289661041,"score_gpt":0.3791343512485905,"score_spread":0.1817042222824864,"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."}}