{"id":"W3000460973","doi":"10.1200/jgo.19.00049","title":"Creating a Canadian Indigenous Research Network Against Cancer to Address Indigenous Cancer Disparities","year":2020,"lang":"en","type":"article","venue":"JCO Global Oncology","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Assembly of First Nations; University of Saskatchewan; University of British Columbia; University nuhelot'ine thaiyots'i nistameyimâkanak Blue Quills; Alberta Health Services","funders":"Canadian Institutes of Health Research","keywords":"Indigenous; Cancer; Cancer prevention; Medicine; Political science; Public relations","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001687401,0.0002244992,0.0004701439,0.000134227,0.01503699,0.0001642432,0.0007920723,0.0005168543,0.000393747],"category_scores_gemma":[0.00005887376,0.0002153381,0.00007395015,0.001791398,0.0004575845,0.0001629067,0.00001656607,0.0005864211,0.0002073522],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01198966,"about_ca_system_score_gemma":0.1871043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995813,"about_ca_topic_score_gemma":0.9998773,"domain_scores_codex":[0.994158,0.001092171,0.000448474,0.0005834521,0.0006901358,0.003027782],"domain_scores_gemma":[0.9966114,0.0002810932,0.0001460049,0.0002211853,0.000677737,0.002062616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000777577,0.0001016752,0.06416684,0.00005633842,0.00007020711,0.00009662567,0.8852125,0.0008951852,9.758204e-7,0.02790083,0.01002186,0.01139914],"study_design_scores_gemma":[0.0002045252,0.0002869505,0.01243105,0.00005726736,0.0000186721,0.000001909225,0.01325281,0.000007887891,0.00000418314,0.0005973602,0.9728603,0.0002770678],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7011822,0.002936182,0.000006437973,0.0128939,0.002329026,0.001990649,0.0002830852,0.000100965,0.2782776],"genre_scores_gemma":[0.9611988,0.01250318,0.0003400528,0.01072451,0.01035758,0.0002585041,0.00004880795,0.00004297861,0.004525599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9628385,"threshold_uncertainty_score":0.9918032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07415385370430592,"score_gpt":0.4354547173101999,"score_spread":0.3613008636058939,"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."}}