{"id":"W4240879950","doi":"10.24095/hpcdp.31.3.10","title":"With thanks to our 2010 peer reviewers","year":2011,"lang":"en","type":"article","venue":"Chronic diseases and injuries 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; Peer review; Data science; Psychology; Political 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":[0.0007225411,0.0001440317,0.0002825092,0.0001049881,0.0001027751,0.0002804277,0.001080493,0.00004009379,0.0004430678],"category_scores_gemma":[0.001474761,0.00009130526,0.0000272892,0.0005145639,0.00006615683,0.0007936694,0.0002676861,0.0001960038,0.00001537532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665335,"about_ca_system_score_gemma":0.003313446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.684052,"about_ca_topic_score_gemma":0.8489388,"domain_scores_codex":[0.9976767,0.00006262465,0.0003630205,0.0004296114,0.001132795,0.000335254],"domain_scores_gemma":[0.9987252,0.0001141772,0.0001124362,0.0004583952,0.0001897732,0.0003999747],"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":[0.00005693741,0.0000106995,0.2068157,0.00001576336,0.000009013333,0.0000202206,0.0003031729,0.00001125689,3.292952e-7,0.0004945167,0.743072,0.04919046],"study_design_scores_gemma":[0.0003860836,0.0001388013,0.3958004,0.0001697141,0.00002553288,0.000004972688,0.006967256,0.00007049628,0.00003808429,0.002441125,0.5935639,0.0003936198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472767,0.01233595,0.0001307007,0.01056303,0.00312788,0.000535416,0.0003331093,0.00002944098,0.02566782],"genre_scores_gemma":[0.9940965,0.0001580269,0.0000791679,0.001987807,0.0001281649,0.00002513321,0.000004039982,0.000009794908,0.00351143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1889848,"threshold_uncertainty_score":0.5877911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05278906247671609,"score_gpt":0.3371130393175262,"score_spread":0.2843239768408101,"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."}}