{"id":"W4251246382","doi":"10.1007/bf03405584","title":"Preamble","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada; McGill University","keywords":"Preamble; Computer science; Telecommunications; Channel (broadcasting)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.001139669,0.0009345916,0.0008980343,0.001886711,0.003175341,0.004081445,0.001761673,0.003188119,0.5963086],"category_scores_gemma":[0.008346846,0.0003812154,0.0007145763,0.0007150038,0.0006810887,0.001826179,0.002933059,0.003908013,0.4881982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728714,"about_ca_system_score_gemma":0.00355301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01074517,"about_ca_topic_score_gemma":0.02390161,"domain_scores_codex":[0.9989231,0.0001299534,0.00006963796,0.0001351017,0.0005329009,0.0002092552],"domain_scores_gemma":[0.9959776,0.0004883879,0.0001178184,0.0003167402,0.002159336,0.0009401552],"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":[0.00001311897,0.000009045532,0.00002998531,0.00003104935,7.947488e-7,0.0000250019,0.00001812221,0.000007029387,0.0000440809,0.001365238,0.9824263,0.01603025],"study_design_scores_gemma":[0.000003862941,0.000008780814,0.0001867544,0.00004819423,0.000001238687,0.0000302135,0.00003403977,0.000009014318,0.00005323596,0.000668201,0.9989526,0.000003847359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005514099,0.005909509,0.001052625,0.05563111,0.136978,0.0004562122,0.003610122,0.001372727,0.7944383],"genre_scores_gemma":[0.0008126234,0.0007150472,0.0001667602,0.008948245,0.003505438,0.00006546747,0.0004817221,0.0001547044,0.98515],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4036914,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06040108324595494,"score_gpt":0.2915061115620944,"score_spread":0.2311050283161394,"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."}}