{"id":"W4246813990","doi":"10.36834/cmej.36922","title":"Thank you to our 2016 reviewers!","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Information retrieval; World Wide Web","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03663288,0.00213012,0.002497576,0.005864833,0.007128178,0.013654,0.002396667,0.006662926,0.05550194],"category_scores_gemma":[0.3820363,0.0011182,0.001892013,0.003993846,0.00329812,0.006415476,0.00534713,0.01234268,0.05327423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007155833,"about_ca_system_score_gemma":0.02429678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03175424,"about_ca_topic_score_gemma":0.07762356,"domain_scores_codex":[0.958725,0.01129017,0.004466364,0.003200895,0.02021567,0.002101824],"domain_scores_gemma":[0.3105554,0.02939781,0.0190281,0.007468325,0.6091559,0.02439441],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001161467,0.000003266307,0.000199332,0.00007139025,0.000004754819,0.00005818051,0.0002028707,0.000009620198,0.00006556568,0.0002309995,0.9949485,0.004193819],"study_design_scores_gemma":[0.00001560949,0.00001007182,0.0006863399,0.0003483725,0.00001895945,0.0002121598,0.001769365,0.00008831755,0.0001138576,0.0007440943,0.9959372,0.00005562808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0005270269,0.005172231,0.001716189,0.3595724,0.6271692,0.000241308,0.0006546439,0.0005609394,0.0043861],"genre_scores_gemma":[0.01482541,0.008304552,0.009444847,0.3096476,0.3479805,0.001985469,0.001067914,0.002489719,0.304254],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9633671,"threshold_uncertainty_score":0.1937355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07517780268703367,"score_gpt":0.4723111621412311,"score_spread":0.3971333594541975,"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."}}