{"id":"W4205422139","doi":"10.2172/1838284","title":"RCT Continuing Training: 1st Quarter 2022","year":2022,"lang":"en","type":"report","venue":"","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Randomized controlled trial; Training (meteorology); Medicine; Geography; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02367716,0.00118158,0.001184284,0.002087153,0.001522848,0.004735895,0.00295134,0.008642964,0.5644805],"category_scores_gemma":[0.07483982,0.00113509,0.001535372,0.002006801,0.00076143,0.001943233,0.003882877,0.004893008,0.2936032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004906751,"about_ca_system_score_gemma":0.02158988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100284,"about_ca_topic_score_gemma":0.01867057,"domain_scores_codex":[0.9870304,0.005191687,0.001150543,0.0005925831,0.003937115,0.002097576],"domain_scores_gemma":[0.9189715,0.02093935,0.004631853,0.004811171,0.02023561,0.03041053],"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":[0.0008961341,0.0001423359,0.0002092366,0.0004172939,0.00001364773,0.00002479223,0.00001260229,0.0000422524,0.0001158067,0.0003211538,0.9795865,0.01821815],"study_design_scores_gemma":[0.005131164,0.0007262136,0.005334625,0.002029284,0.00005170779,0.00006950357,0.000100472,0.000271898,0.000599717,0.0009336584,0.9847252,0.00002662857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004864675,0.00576473,0.003126357,0.156493,0.03321389,0.02402772,0.3576843,0.005264123,0.4095612],"genre_scores_gemma":[0.01941108,0.004707244,0.006331783,0.03359307,0.007443344,0.03171122,0.09047076,0.001205375,0.8051262],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5644805,"threshold_uncertainty_score":0.6212157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3439646709735122,"score_gpt":0.4934114252298684,"score_spread":0.1494467542563562,"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."}}