{"id":"W7010193342","doi":"","title":"Health equity and rurality in Northern Ontario","year":2021,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rurality; Health equity; Equity (law); Descriptive statistics; Health care; Context (archaeology); Thematic analysis; Operationalization; Rural area; Socioeconomic status","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002325462,0.0003024496,0.0005146777,0.0003353919,0.0001798759,0.000185662,0.001057875,0.0002767153,0.00007439647],"category_scores_gemma":[0.000006441849,0.0003869606,0.0001204556,0.0008435274,0.00003711992,0.0004233662,0.0007303962,0.0007116228,0.00001056287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009555393,"about_ca_system_score_gemma":0.0012788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04541165,"about_ca_topic_score_gemma":0.9956623,"domain_scores_codex":[0.9978233,0.0001957148,0.0002850061,0.0008330249,0.0003725899,0.0004903958],"domain_scores_gemma":[0.9986148,0.00003596218,0.0002949379,0.0007106099,0.0001080182,0.0002356175],"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":[0.0003007643,0.00118154,0.1882679,0.001587821,0.000560776,0.003523262,0.07682688,0.0006422451,0.0000587994,0.127257,0.005821821,0.5939712],"study_design_scores_gemma":[0.006805463,0.0006731368,0.7008607,0.003333586,0.0002739951,0.00009160245,0.02061273,0.003601291,0.0001752966,0.004444971,0.2543963,0.004730952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8451293,0.003811393,0.06277052,0.002171287,0.005073071,0.001798741,0.00003033324,0.000534259,0.07868116],"genre_scores_gemma":[0.8754575,0.0004455624,0.004423101,0.0003215251,0.0001538283,0.000003826732,0.001854845,0.00005736592,0.1172824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9502507,"threshold_uncertainty_score":0.9998582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229727094726445,"score_gpt":0.2317039375596861,"score_spread":0.2194066666124217,"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."}}