{"id":"W2900404934","doi":"10.1503/cmaj.180816","title":"Engaging with patients on research to inform better care","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Stroke Network; McGill University Health Centre; McMaster University; Population Health Research Institute; University of Toronto","funders":"","keywords":"Medicine; Data science; Public relations; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1701746,0.001159749,0.001813993,0.003461657,0.01884663,0.02251102,0.004670694,0.01545341,0.03858232],"category_scores_gemma":[0.288952,0.001388807,0.002624686,0.002720808,0.02371754,0.02782244,0.05679217,0.03349096,0.007844087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009073579,"about_ca_system_score_gemma":0.0442884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003642604,"about_ca_topic_score_gemma":0.008481164,"domain_scores_codex":[0.6633555,0.2824334,0.01119757,0.005518807,0.02598598,0.01150886],"domain_scores_gemma":[0.4658453,0.2940491,0.03862004,0.03897613,0.03865017,0.1238593],"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":[0.000537695,0.001958764,0.03360259,0.00405447,0.0005388553,0.002660217,0.2472427,0.0004967871,0.003373941,0.07643774,0.3476267,0.2814696],"study_design_scores_gemma":[0.000313701,0.0007607715,0.008951982,0.0053169,0.0001768471,0.002588762,0.1282586,0.0002576873,0.0008397659,0.06534376,0.7868979,0.0002932873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02864945,0.009220907,0.007096103,0.8602775,0.006643003,0.0007287291,0.0002404989,0.000274507,0.08686934],"genre_scores_gemma":[0.3600789,0.02426713,0.02254958,0.5498737,0.01533585,0.002134566,0.0006483881,0.0004688023,0.02464312],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1701746,"threshold_uncertainty_score":0.8999801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1523074885224302,"score_gpt":0.4537995535787993,"score_spread":0.3014920650563691,"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."}}