{"id":"W2164177075","doi":"10.1503/cmaj.061652","title":"A new year and new opportunities","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Computer science; Data science; Medicine; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00797225,0.00118487,0.001209324,0.001659912,0.009230661,0.01631754,0.002295152,0.008594164,0.1698257],"category_scores_gemma":[0.01773005,0.0004319623,0.001069944,0.001010359,0.004363153,0.01891902,0.01200861,0.0170791,0.04430645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582289,"about_ca_system_score_gemma":0.008657513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470054,"about_ca_topic_score_gemma":0.005772959,"domain_scores_codex":[0.9949948,0.001058894,0.0002012307,0.0005596341,0.001701579,0.001483768],"domain_scores_gemma":[0.9748787,0.001489535,0.0005094459,0.0008139099,0.002856753,0.01945162],"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":[0.00003600148,0.00008266915,0.0001893664,0.0001091507,0.000005349209,0.0003069529,0.0006541615,0.00001938359,0.0001828782,0.0166749,0.9374794,0.04425989],"study_design_scores_gemma":[0.000005928229,0.00002096469,0.0001417742,0.0001405918,0.000001572653,0.0002541453,0.001062454,0.00001136521,0.00002237811,0.003612846,0.9947142,0.00001168522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001798231,0.03911513,0.00167095,0.5536582,0.3169317,0.00006671153,0.0003700302,0.0004209846,0.08596807],"genre_scores_gemma":[0.02890059,0.03804969,0.004898617,0.3201788,0.212611,0.0002380719,0.0006275473,0.0006116405,0.3938841],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1698257,"threshold_uncertainty_score":0.5681236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063184152127512,"score_gpt":0.3570364207332558,"score_spread":0.2507180055205045,"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."}}