{"id":"W2904334808","doi":"10.1007/s10393-018-1386-6","title":"Understanding the Connections Between Dogs, Health and Inuit Through a Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"EcoHealth","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Nasivvik Centre for Inuit Health and Changing Environments; ArcticNet","keywords":"Animal ecology; Public health; Environmental health; Perspective (graphical); One Health; Psychological intervention; Medicine; Geography; Nursing; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.01513741,0.000414063,0.0006519324,0.001162078,0.002550922,0.002422873,0.001223343,0.001039988,0.001617113],"category_scores_gemma":[0.01783238,0.0005800024,0.0006067386,0.001379671,0.001802203,0.003284636,0.002478661,0.001034947,0.00009914629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760147,"about_ca_system_score_gemma":0.003722895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03166606,"about_ca_topic_score_gemma":0.07539997,"domain_scores_codex":[0.9907821,0.006972092,0.0004190674,0.0005849915,0.0005476324,0.0006941332],"domain_scores_gemma":[0.9872979,0.008702027,0.001645736,0.0008199005,0.001105659,0.0004288742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008102184,0.005735264,0.6902125,0.001632124,0.001393554,0.0005436415,0.2472033,0.0001723696,0.001849801,0.005139339,0.001138893,0.04416899],"study_design_scores_gemma":[0.0001589426,0.003812481,0.539341,0.001881256,0.001205422,0.0004825434,0.4389,0.001338114,0.001073953,0.003890095,0.007822236,0.00009384249],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958229,0.000960795,0.001281619,0.0005340398,0.0000268543,0.0002346988,0.00009433927,0.000002601208,0.001042186],"genre_scores_gemma":[0.9957731,0.0004136891,0.00231495,0.0004026505,0.00001563764,0.0006123139,0.00006498436,0.000002293776,0.0004002538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03166606,"threshold_uncertainty_score":0.08005518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2591936854759363,"score_gpt":0.5182425792488569,"score_spread":0.2590488937729206,"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."}}