{"id":"W4400298436","doi":"10.1186/s12961-024-01171-1","title":"Bridging the gap to meet complex needs: an intersectoral action well supported by appropriate policies and governance","year":2024,"lang":"en","type":"article","venue":"Health Research Policy and Systems","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé","keywords":"Health care; Health administration; Corporate governance; Public relations; Equity (law); Health services research; Business; Health policy; Nursing; Medicine; Public health; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002048703,0.0001391453,0.0002542538,0.0003240673,0.0003258287,0.0005690073,0.0001128665,0.00004272795,0.0000231313],"category_scores_gemma":[0.0001501998,0.00009721453,0.00002723082,0.000661117,0.0002138802,0.0001949824,0.0000998781,0.0002491148,0.00001950069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000457465,"about_ca_system_score_gemma":0.0005569587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03721279,"about_ca_topic_score_gemma":0.000660238,"domain_scores_codex":[0.9976372,0.0004403831,0.0003053065,0.0003081377,0.0006105091,0.0006984557],"domain_scores_gemma":[0.9989073,0.0001463249,0.0000475575,0.0002992964,0.00008286935,0.0005166131],"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":[0.0004196363,0.000129918,0.002019616,0.01516086,0.0001965555,0.00004691246,0.01144424,0.00002753381,0.003017923,0.2278768,0.7213416,0.01831846],"study_design_scores_gemma":[0.001861228,0.00208556,0.05590726,0.002954672,0.00004086399,0.0002073466,0.03100453,0.06856215,0.00006185642,0.0008588195,0.8360512,0.0004045023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792555,0.006609782,0.0001588167,0.0962855,0.0003217415,0.002709718,0.0001760167,0.0002108171,0.01427214],"genre_scores_gemma":[0.9928193,0.0009178278,0.000004806272,0.001283715,0.0009666088,0.0000914656,0.00003453754,0.00002592912,0.003855818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.227018,"threshold_uncertainty_score":0.9691985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4010023944028349,"score_gpt":0.5230446336875175,"score_spread":0.1220422392846826,"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."}}