{"id":"W2532569959","doi":"10.1136/bmjgh-2016-000093","title":"Assessment of the implementation fidelity of the Arctic Char Distribution Project in Nunavik, Quebec","year":2016,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; The Quebec Population Health Research Network; Trent University; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Arctic char; Distribution (mathematics); Ethnic group; Fidelity; Work (physics); Environmental health; Qualitative property; Documentation; Environmental planning; Geography; Environmental resource management; Political science; Medicine; Fishery; Fish <Actinopterygii>; Engineering; Environmental science; Computer science","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":[0.05866611,0.0005281583,0.0006016177,0.00133838,0.008720535,0.003944599,0.004068934,0.001042531,0.001811268],"category_scores_gemma":[0.08944419,0.000581836,0.0005237145,0.00218114,0.004413963,0.001470438,0.004557993,0.001835844,0.0001463664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1143363,"about_ca_system_score_gemma":0.1875491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9754989,"about_ca_topic_score_gemma":0.9841515,"domain_scores_codex":[0.9545692,0.02523188,0.002401341,0.001840158,0.009062933,0.006894452],"domain_scores_gemma":[0.9292755,0.02221896,0.006792191,0.004273971,0.02968628,0.007753203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000481632,0.001147769,0.596906,0.001283514,0.0001948842,0.001162027,0.2533959,0.001860924,0.001635107,0.002772293,0.005283172,0.1338768],"study_design_scores_gemma":[0.0001243225,0.001121983,0.718599,0.002027942,0.0001256081,0.000151089,0.2525214,0.003911491,0.0009919516,0.0004199867,0.01983248,0.0001726499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787306,0.0006867043,0.002627403,0.004584556,0.00005680925,0.003222679,0.0006738919,0.00005750488,0.00935977],"genre_scores_gemma":[0.9923739,0.0003433104,0.003199585,0.0005740168,0.000006155712,0.001692309,0.0002887701,0.00001989718,0.001502035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1143363,"threshold_uncertainty_score":0.8295717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04737083278252723,"score_gpt":0.5112254275647429,"score_spread":0.4638545947822156,"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."}}