{"id":"W2065349361","doi":"10.1136/bmj.g1523","title":"Authors' reply to Huffman and colleagues","year":2014,"lang":"en","type":"letter","venue":"BMJ","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; York University","funders":"","keywords":"Huffman coding; Computer science; Data science; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.03090634,0.001490728,0.003837716,0.002762007,0.002781403,0.006035341,0.005408485,0.03589629,0.01311662],"category_scores_gemma":[0.2864877,0.002022419,0.004017764,0.003679462,0.004373354,0.008924828,0.003799302,0.04556761,0.008876946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007978652,"about_ca_system_score_gemma":0.01365508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007371441,"about_ca_topic_score_gemma":0.008597503,"domain_scores_codex":[0.975933,0.007919446,0.004731475,0.002693568,0.00772553,0.0009968812],"domain_scores_gemma":[0.8275223,0.0902131,0.01159517,0.004176456,0.06101825,0.005474858],"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":[0.00003069099,0.000004483433,0.00009093111,0.0004437336,0.0000407169,0.00009355097,0.0001294249,0.00003537963,0.00002537587,0.0006460794,0.995472,0.002987672],"study_design_scores_gemma":[0.0002601043,0.0000522528,0.0007526772,0.005143505,0.0002074765,0.001193273,0.0007192618,0.0002919056,0.0003248139,0.006718803,0.9841426,0.0001932474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.00006457845,0.003054094,0.0001266976,0.9473798,0.04891416,0.00002296904,0.0001235153,0.00002896675,0.0002852413],"genre_scores_gemma":[0.0007785698,0.001870612,0.0003151006,0.9699393,0.02557611,0.000124754,0.00003228079,0.00003755029,0.001325785],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03589629,"threshold_uncertainty_score":0.1634504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699399505507541,"score_gpt":0.3061509300986315,"score_spread":0.2791569350435561,"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."}}