{"id":"W2035714137","doi":"10.1016/j.healthpol.2015.03.012","title":"Policy and planning of prevention in Italy: Results from an appraisal of prevention plans developed by Regions for the period 2010–2012","year":2015,"lang":"en","type":"article","venue":"Health Policy","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università Cattolica del Sacro Cuore; Ministry of Health, British Columbia; Sapienza Università di Roma; Ministero della Salute","keywords":"Christian ministry; Critical appraisal; Psychological intervention; Process (computing); Population; Inequality; Public health; Disease prevention; Medicine; Political science; Business; Environmental health; Computer science; Alternative medicine; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04988513,0.0008531864,0.000918938,0.006247118,0.001195124,0.003555799,0.001188642,0.00104886,0.001421464],"category_scores_gemma":[0.06347807,0.0007152246,0.001759163,0.007913118,0.001115759,0.001733331,0.002526387,0.001277228,0.000259907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02741458,"about_ca_system_score_gemma":0.0390504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05526937,"about_ca_topic_score_gemma":0.04927386,"domain_scores_codex":[0.9640406,0.02363703,0.002834757,0.001195436,0.005289147,0.003002897],"domain_scores_gemma":[0.9487485,0.02401118,0.01420447,0.002141579,0.009327754,0.001566471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004610376,0.001405081,0.331873,0.01888205,0.001571469,0.001336374,0.06110149,0.06567326,0.002470964,0.01762978,0.02819213,0.4652541],"study_design_scores_gemma":[0.00064652,0.002176118,0.8805831,0.005536572,0.001299308,0.0003579944,0.02519924,0.01013324,0.00320394,0.002142243,0.06849884,0.0002229393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031535,0.02013359,0.005860968,0.01167435,0.0001783638,0.005399382,0.006313655,0.0002282673,0.04705792],"genre_scores_gemma":[0.9728913,0.009062978,0.01061199,0.0007061351,0.0001215105,0.001594207,0.002991011,0.00005904879,0.001961723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05526937,"threshold_uncertainty_score":0.263821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1661410129867782,"score_gpt":0.5040281559912334,"score_spread":0.3378871430044552,"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."}}