{"id":"W2113222106","doi":"10.1503/cmaj.080202","title":"Developing the evidence for evidence-based practice","year":2008,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Treatment of Major Depression","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depression (economics); Medicine; Alternative medicine; MEDLINE; Data science; Psychiatry; Computer science; Pathology; 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1992062,0.00175242,0.006109804,0.01032755,0.003591588,0.01805703,0.009404732,0.061472,0.017575],"category_scores_gemma":[0.5861053,0.002857122,0.004331617,0.005268066,0.01120425,0.0264963,0.01382484,0.05946237,0.01015288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01611714,"about_ca_system_score_gemma":0.04608003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003714657,"about_ca_topic_score_gemma":0.005917424,"domain_scores_codex":[0.7695483,0.1255104,0.03582918,0.006709897,0.0595893,0.002813021],"domain_scores_gemma":[0.2713336,0.5795958,0.02902987,0.01884037,0.08755442,0.01364607],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002186881,0.0002156512,0.0007170854,0.01567825,0.0006838778,0.0003607252,0.0004369319,0.0003610518,0.0002623789,0.05031965,0.6818529,0.2488929],"study_design_scores_gemma":[0.0006618354,0.0002736883,0.0009403461,0.09008854,0.000474249,0.0004268996,0.0004901388,0.001022585,0.0002398404,0.120213,0.7850356,0.0001333354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001387083,0.04849477,0.004297337,0.8985641,0.04280777,0.0002250904,0.0001724012,0.0001013515,0.005198489],"genre_scores_gemma":[0.01022846,0.07300218,0.05766626,0.7909288,0.06322743,0.001168101,0.0006088022,0.0001828001,0.002987037],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8007938,"threshold_uncertainty_score":0.9875213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08980269130875058,"score_gpt":0.352572501736274,"score_spread":0.2627698104275234,"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."}}