{"id":"W4238288301","doi":"10.1097/ncm.0b013e31826c8288","title":"NCMN Hopes to Partner With Veterans Affairs Canada","year":2012,"lang":"en","type":"article","venue":"Professional Case Management","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Case management; Public administration; Political science; Library science; Medicine; Nursing; Law; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005762569,0.0001486372,0.0001743367,0.0000699534,0.0001253556,0.00001141246,0.00005612434,0.00002723461,0.0006840552],"category_scores_gemma":[0.0001199084,0.0001042241,0.00003210353,0.0001866748,0.00001694959,0.0001582109,0.0001377939,0.0001603496,0.00008613059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002121993,"about_ca_system_score_gemma":0.0001726571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05940505,"about_ca_topic_score_gemma":0.1255654,"domain_scores_codex":[0.9983225,0.00007918386,0.0004155355,0.0002256335,0.0005834354,0.0003736629],"domain_scores_gemma":[0.9989414,0.0002146456,0.0000941873,0.0002733388,0.0001019218,0.0003745076],"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":[0.003533777,0.001479919,0.08941378,0.0007323331,0.0007488389,0.01200955,0.001384751,0.0001669013,0.0001485581,0.002594189,0.783285,0.1045025],"study_design_scores_gemma":[0.00425321,0.0004719065,0.1187449,0.0003390069,0.000708991,0.002164026,0.01849241,0.0001530403,0.0002684007,0.00002575813,0.8539009,0.0004774377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451256,0.00006919054,0.001377101,0.04199655,0.0009104499,0.00176943,0.00002384737,0.00005712378,0.008670699],"genre_scores_gemma":[0.9767839,0.000004747789,0.006833177,0.01038482,0.0003122536,0.0001745624,0.00005979661,0.00002401841,0.005422683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.104025,"threshold_uncertainty_score":0.9468585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359375032092632,"score_gpt":0.453970131586715,"score_spread":0.3180326283774518,"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."}}