{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001543588,0.00003606245,0.00006816169,0.00003290139,0.0001528023,0.00001812952,0.00001654885,0.0000249414,0.00009052893],"category_scores_gemma":[0.00007144812,0.00002918795,0.00005735588,0.0001177193,0.00001211024,0.00003021963,0.000006074796,0.0001102051,0.0000243011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563927,"about_ca_system_score_gemma":0.00008123634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001136467,"about_ca_topic_score_gemma":0.00004482262,"domain_scores_codex":[0.9995892,0.000006133586,0.00009248392,0.00005623792,0.0001485425,0.0001073795],"domain_scores_gemma":[0.9997549,0.00002471339,0.00003612521,0.00004560993,0.0000416565,0.00009698867],"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":[0.006209567,0.00006343694,0.02624939,0.00005924398,0.0002627025,0.0001394816,0.0007127402,0.0006468018,0.003718583,0.0006707758,0.75643,0.2048373],"study_design_scores_gemma":[0.005393497,0.003173116,0.07521002,0.0001467598,0.0002204512,0.001351669,0.0008648958,0.007738595,0.004201624,0.001495818,0.9000129,0.0001906693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738805,0.0002949008,0.0103594,0.007824789,0.001114885,0.0002015353,0.00002694093,0.00008480395,0.006212202],"genre_scores_gemma":[0.9916496,0.00006908547,0.0003215551,0.0001727114,0.0005729573,0.00001304848,0.000005743788,0.000007834587,0.007187407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2046467,"threshold_uncertainty_score":0.119025,"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."}}