{"id":"W4387132618","doi":"10.54434/candj.154","title":"Government Relations Update for CANDJ","year":2023,"lang":"en","type":"article","venue":"CAND Journal","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian College of Naturopathic Medicine","funders":"","keywords":"Government (linguistics); Public administration; Computer science; Political science; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01486157,0.001056704,0.001500704,0.004417931,0.006856667,0.01530949,0.003936327,0.04020778,0.09678593],"category_scores_gemma":[0.05238702,0.0009939398,0.002957977,0.005273029,0.001998851,0.005691593,0.004127799,0.02472659,0.04162196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01340303,"about_ca_system_score_gemma":0.05258308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08282225,"about_ca_topic_score_gemma":0.1806099,"domain_scores_codex":[0.9864877,0.001566668,0.001085861,0.0007248105,0.00679494,0.003339982],"domain_scores_gemma":[0.9417105,0.01398314,0.002891958,0.002008431,0.02480894,0.01459704],"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":[0.00001316117,0.00002179812,0.0001282923,0.00004782145,0.000003301247,0.0000437,0.00002846237,0.00001270908,0.00002310352,0.001457591,0.9934582,0.004762006],"study_design_scores_gemma":[0.00001647275,0.00001083212,0.0008439961,0.0001305058,0.000006555357,0.0000276633,0.00009078936,0.00001666486,0.00002465863,0.0003763167,0.9984452,0.00001034019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001071139,0.01093306,0.0003614713,0.7391723,0.1184192,0.0001422336,0.003789199,0.0008136422,0.1252977],"genre_scores_gemma":[0.009010423,0.009757217,0.001458114,0.6103867,0.05568512,0.0003273423,0.004113816,0.0005584605,0.3087028],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09678593,"threshold_uncertainty_score":0.3237812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238832831879287,"score_gpt":0.289425132977234,"score_spread":0.2655418497893053,"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."}}