{"id":"W4303431196","doi":"10.7202/1091520ar","title":"Under-Served: Health Determinants of Indigenous, Inner-City, and Migrant Populations in Canada. Akshaya Neil Arya, A. N., &amp; Thomas Piggott (Editors). Canadian Scholars, 2018, 424 pages","year":2022,"lang":"en","type":"article","venue":"Canadian social work review","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Indigenous; Sociology; Gerontology; History; Political science; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001948262,0.0002103967,0.0006371043,0.0001702491,0.004016228,0.00007971573,0.0006825519,0.0001078968,0.0004045349],"category_scores_gemma":[0.0002970229,0.0002435546,0.0001023559,0.00286031,0.0002522462,0.0002125245,0.00007641309,0.0004663744,0.000004427251],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006713086,"about_ca_system_score_gemma":0.03918993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999608,"about_ca_topic_score_gemma":0.9999996,"domain_scores_codex":[0.9962538,0.0007227993,0.0006314633,0.0004044579,0.0008067781,0.001180637],"domain_scores_gemma":[0.9979464,0.00008658555,0.0004320499,0.0002204567,0.00008763697,0.001226912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000204013,0.00001281512,0.7016115,0.0001397818,0.00000987775,0.00002423884,0.01046371,0.000003042243,1.619727e-7,0.001085764,0.2627518,0.02389529],"study_design_scores_gemma":[0.00007110833,0.00001259109,0.3488907,0.0002658007,0.00001120432,0.000001116282,0.002727759,3.25473e-7,3.736343e-8,0.00034223,0.6474777,0.0001994458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6616431,0.1934337,0.000001180406,0.1325842,0.004467943,0.002529067,0.001864573,0.00003223707,0.003444039],"genre_scores_gemma":[0.9779324,0.01138184,0.00005623078,0.00860742,0.0006782971,0.00008752994,0.00006265418,0.00002654107,0.001167073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.384726,"threshold_uncertainty_score":0.9972804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08598740803049708,"score_gpt":0.3359168929428804,"score_spread":0.2499294849123833,"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."}}