{"id":"W3164594747","doi":"10.23889/ijpds.v6i1.1386","title":"Indigenizing our Research","year":2021,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick; Women's College Hospital; University of Northern British Columbia; University of British Columbia; AIDS Vancouver","funders":"","keywords":"Indigenous; Participatory action research; Citizen journalism; Community-based participatory research; Public relations; Sociology; Population; Political science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009375624,0.0000614224,0.00007921524,0.0004394055,0.01342868,0.001057892,0.002166736,0.000058168,0.00007490603],"category_scores_gemma":[0.0005791426,0.0000562046,0.00003558184,0.0008094604,0.0002015243,0.002951687,0.00002644103,0.0002638309,0.00003956769],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006598129,"about_ca_system_score_gemma":0.02463353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02054883,"about_ca_topic_score_gemma":0.2378779,"domain_scores_codex":[0.9963757,0.0002329352,0.0003410728,0.0003641867,0.002162281,0.0005238298],"domain_scores_gemma":[0.9953455,0.0001547052,0.0001699583,0.0003393604,0.003744489,0.0002460396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002615622,0.00018244,0.01255969,0.000008019463,0.00002787874,0.00002457558,0.07390508,0.00005869722,0.000135947,0.9002035,0.003572494,0.009295488],"study_design_scores_gemma":[0.0001650806,0.00001402738,0.007077963,0.0000350303,0.000003885462,0.00004881239,0.00922916,0.0002685864,0.0001550446,0.01184876,0.9710547,0.00009894749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8574865,0.0004589031,0.006158812,0.02109343,0.04197669,0.0009725249,0.000325821,0.00009788868,0.07142939],"genre_scores_gemma":[0.9768001,0.001997211,0.007781344,0.0001046838,0.004512848,0.000001764943,0.0002989281,0.0000101815,0.008492886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9674822,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2493027479636591,"score_gpt":0.5481076999183465,"score_spread":0.2988049519546874,"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."}}