{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004422906,0.0000706099,0.0001088101,0.000351887,0.0004762312,0.0001048454,0.00075625,0.0001275878,0.03177933],"category_scores_gemma":[0.0628314,0.00004910191,0.00005610293,0.0003935576,0.0001199768,0.0001816345,0.00001966832,0.0003378453,0.001422878],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105262,"about_ca_system_score_gemma":0.09785582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0373296,"about_ca_topic_score_gemma":0.1139575,"domain_scores_codex":[0.9974365,0.000339634,0.00025505,0.000149673,0.001247819,0.0005712893],"domain_scores_gemma":[0.9852499,0.00007723283,0.00005856161,0.0001836189,0.0005655201,0.01386518],"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":[9.877492e-7,0.000008737764,0.0002471457,0.00000139085,0.000002259098,0.00001146457,0.0004813029,4.869947e-9,0.000003812401,0.002070505,0.6256378,0.3715346],"study_design_scores_gemma":[0.00004665655,0.00001576995,0.000408167,0.000369136,0.000002441028,0.00004510528,0.002765687,1.60268e-7,0.000008854304,0.001898045,0.9943576,0.00008230899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001944195,0.0005105878,0.0004114797,0.9328244,0.003182615,0.0002573193,0.000004415655,0.00002795841,0.06083708],"genre_scores_gemma":[0.715317,0.006888812,0.003483543,0.1286679,0.01561623,0.0001502672,0.000002338619,0.00005623751,0.1298177],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8041565,"threshold_uncertainty_score":0.9993546,"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."}}