{"id":"W4280506594","doi":"10.5334/ijic.icic21252","title":"Optimizing Entry into Canadian Cancer Care Systems","year":2022,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Computer science; Library science; World Wide Web; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009199094,0.0007705028,0.0007397238,0.00273856,0.009885687,0.0130734,0.003550329,0.002162388,0.02357018],"category_scores_gemma":[0.06064886,0.0004319843,0.001275135,0.005150011,0.001690445,0.003648025,0.006905352,0.002871989,0.001777201],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1388494,"about_ca_system_score_gemma":0.4000014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747839,"about_ca_topic_score_gemma":0.9877827,"domain_scores_codex":[0.977973,0.005206462,0.0009183048,0.001056056,0.006903226,0.007942814],"domain_scores_gemma":[0.9606277,0.004245597,0.001875075,0.000718672,0.01763016,0.01490278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004949677,0.0007782292,0.2015161,0.001045549,0.0003065043,0.0005581488,0.009792311,0.008485193,0.0007867541,0.03475905,0.3540792,0.3873981],"study_design_scores_gemma":[0.0004694944,0.0008509171,0.5203287,0.003611564,0.0004265697,0.0003005042,0.0350185,0.0179814,0.001538157,0.01480129,0.4041584,0.0005144777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3986488,0.006314463,0.007273911,0.2721516,0.001796407,0.00262054,0.008918799,0.0009902505,0.3012852],"genre_scores_gemma":[0.9338479,0.004980253,0.01758985,0.01268536,0.0003738067,0.0005537951,0.005637893,0.0002741048,0.02405706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8611506,"threshold_uncertainty_score":0.9988127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07354064471088603,"score_gpt":0.4403947804775866,"score_spread":0.3668541357667006,"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."}}