{"id":"W2733226110","doi":"","title":"185- POLICY AND PROGRAM EXCHANGE BETWEEN TWO GEOGRAPHICALLY EXTREME COMMUNITIES","year":2012,"lang":"en","type":"article","venue":"Cuba Salud 2012","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Circumpolar star; Health promotion; Political science; Economic growth; Environmental health; Environmental protection; Public health; Medicine; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01544677,0.0002864758,0.0002902815,0.001091875,0.01585743,0.007694162,0.002757187,0.003923969,0.02104558],"category_scores_gemma":[0.01505851,0.0003795178,0.0002953184,0.001205591,0.00432131,0.004032317,0.01819806,0.004013868,0.001016327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0130981,"about_ca_system_score_gemma":0.04818116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03429887,"about_ca_topic_score_gemma":0.0472937,"domain_scores_codex":[0.9802865,0.01279666,0.0003603293,0.0009123507,0.001001252,0.00464286],"domain_scores_gemma":[0.9852619,0.004183889,0.0008956762,0.0007860838,0.001648005,0.007224488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005769471,0.003549599,0.05215209,0.0007772943,0.00008447756,0.008025203,0.2257824,0.002132664,0.004166179,0.3996623,0.1100985,0.1929925],"study_design_scores_gemma":[0.0001982824,0.000585216,0.03108149,0.000635835,0.00002058144,0.000593169,0.3223433,0.001530068,0.000713855,0.02290585,0.6193307,0.00006160871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4785446,0.00144728,0.008693838,0.2091178,0.001298836,0.003326305,0.0004498484,0.0001554366,0.296966],"genre_scores_gemma":[0.9157141,0.0004505478,0.005535008,0.01327525,0.0001420222,0.001909785,0.0002186159,0.00003473518,0.06271992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03429887,"threshold_uncertainty_score":0.09503382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1496787155400285,"score_gpt":0.4439643430316399,"score_spread":0.2942856274916114,"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."}}