{"id":"W2900438739","doi":"10.36834/cmej.52967","title":"Reviewer Acknowledgement 2017","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Acknowledgement; Computer science; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0202619,0.001222302,0.002300908,0.006127818,0.005405964,0.01045179,0.003355637,0.01777825,0.124491],"category_scores_gemma":[0.2685136,0.0008740549,0.002531616,0.002542985,0.002696357,0.005043689,0.004596581,0.01418664,0.08021582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007380679,"about_ca_system_score_gemma":0.013746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01352741,"about_ca_topic_score_gemma":0.02496265,"domain_scores_codex":[0.9771615,0.00432927,0.002670542,0.0019985,0.01212854,0.001711701],"domain_scores_gemma":[0.6974067,0.02618311,0.008048327,0.005038498,0.2509139,0.01240938],"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":[0.000006022944,0.000001142,0.00003497993,0.00004202446,0.000001375224,0.00002380449,0.00001871366,0.000002982913,0.000008274885,0.0001228025,0.9985061,0.001231838],"study_design_scores_gemma":[0.00002867837,0.000008401381,0.0003559724,0.0004979838,0.0000149101,0.0001456726,0.0002676091,0.00005207284,0.0000566001,0.0006956075,0.9978483,0.00002814044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001200448,0.001281547,0.0003389484,0.3806367,0.6075667,0.0001248647,0.0005544451,0.0002650421,0.009111652],"genre_scores_gemma":[0.003898873,0.002240667,0.0007926023,0.5346894,0.2861014,0.0007642767,0.001091931,0.0007722812,0.1696485],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.124491,"threshold_uncertainty_score":0.416464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04138106309238219,"score_gpt":0.2668410082793414,"score_spread":0.2254599451869592,"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."}}