{"id":"W4400570045","doi":"10.1136/bmj.q1460","title":"World leaders unite to embed social participation in health systems","year":2024,"lang":"en","type":"editorial","venue":"BMJ","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Data science; Public relations; World Wide Web; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03642862,0.006951414,0.007323707,0.006369118,0.009081234,0.02248438,0.007917881,0.05652381,0.03353946],"category_scores_gemma":[0.1071831,0.002865941,0.007080283,0.004019612,0.007143219,0.01391823,0.005472071,0.06091577,0.01805327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007642145,"about_ca_system_score_gemma":0.01386077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006492774,"about_ca_topic_score_gemma":0.02129576,"domain_scores_codex":[0.967831,0.009065863,0.003246696,0.002007645,0.01592073,0.00192809],"domain_scores_gemma":[0.8746138,0.07279848,0.004642458,0.003402793,0.03110296,0.0134395],"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":[0.00003365588,0.00002066819,0.00001783734,0.000552401,0.00004500309,0.00004594329,0.00005240033,0.00001819341,0.00002975346,0.0007216602,0.9948846,0.003577914],"study_design_scores_gemma":[0.0002886864,0.00007171206,0.0002576306,0.001690243,0.0002025572,0.00009148586,0.0002757277,0.0002170634,0.00008521249,0.004663641,0.9921043,0.00005185842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001455345,0.002709233,0.000103957,0.05331067,0.9429437,0.00002880003,0.00003371679,0.00004724171,0.0008082086],"genre_scores_gemma":[0.0004048518,0.003628718,0.0002504654,0.06966096,0.9189449,0.00008421925,0.0000263211,0.0000623981,0.006937081],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.05652381,"threshold_uncertainty_score":0.1926552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285314977158881,"score_gpt":0.4463424190905592,"score_spread":0.3178109213746712,"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."}}