{"id":"W4244167578","doi":"10.24095/hpcdp.37.3.06","title":"With thanks to our 2016 peer reviewers","year":2017,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00377486,0.0001259875,0.000255893,0.0001095148,0.0005116725,0.0006093801,0.0008465991,0.00003570739,0.0002134993],"category_scores_gemma":[0.001542152,0.00009031861,0.00003120318,0.000187652,0.00002563616,0.00101808,0.0001738068,0.0002228455,0.00002633031],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009977262,"about_ca_system_score_gemma":0.01084418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3459771,"about_ca_topic_score_gemma":0.8619099,"domain_scores_codex":[0.9968579,0.0002974646,0.0005473882,0.0005085637,0.001428627,0.0003600936],"domain_scores_gemma":[0.9978049,0.00003911868,0.0004878645,0.0006655352,0.000226705,0.0007758549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000625715,0.00007846177,0.09188221,0.0002142962,0.000009456952,0.00001768326,0.0001512688,0.00009887167,4.904948e-7,0.000590165,0.4538499,0.4530446],"study_design_scores_gemma":[0.001574891,0.0002286786,0.6988296,0.001927376,0.00001409376,0.000006623586,0.001039865,0.0009728758,0.000004432648,0.004810606,0.2902249,0.0003660873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3961933,0.005293271,0.005056739,0.5811828,0.003473211,0.003218462,0.0001740122,0.00005019202,0.00535806],"genre_scores_gemma":[0.986206,0.0002693786,0.00007338195,0.001342364,0.0001289699,0.00008403581,0.00001277347,0.00000886062,0.01187424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6069474,"threshold_uncertainty_score":0.9947634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048577944803688,"score_gpt":0.4469993250282119,"score_spread":0.3421415305478431,"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."}}