{"id":"W4384704276","doi":"10.3138/cjpe.77058-en","title":"Roots and Relations: Celebrating Good Medicine in Indigenous Evaluation","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Traditional medicine; Sociology; Political science; Engineering ethics; Environmental ethics; Medicine; Engineering; Philosophy; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04687115,0.0001171248,0.0002484623,0.002035258,0.000274118,0.000220192,0.00025744,0.00009581783,0.001609792],"category_scores_gemma":[0.008439532,0.0000923402,0.00004589754,0.002461729,0.00009253137,0.000781714,0.00001324091,0.0002457252,0.000102518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005371223,"about_ca_system_score_gemma":0.004700065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042622,"about_ca_topic_score_gemma":0.06395073,"domain_scores_codex":[0.9941622,0.0009974445,0.001243179,0.0002325775,0.003064144,0.0003004588],"domain_scores_gemma":[0.9956428,0.0005512476,0.0007244583,0.0002170344,0.00253737,0.0003271215],"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":[0.000005191653,0.00001259306,0.1717321,0.000003239338,0.00001007043,0.000005303099,0.005235686,0.008269131,0.00004477407,0.000226258,0.001376451,0.8130792],"study_design_scores_gemma":[0.001395571,0.0003770608,0.7174889,0.0001037066,0.00006178742,0.00002714947,0.003526235,0.2460786,0.00001081903,0.02524394,0.005581274,0.0001049858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858684,0.001098226,0.0001698386,0.006685187,0.0007033188,0.001658015,0.000002940216,0.00001515346,0.003798934],"genre_scores_gemma":[0.9986137,0.00003219508,0.0007581337,0.0001065469,0.0001726894,0.0001127416,0.00003210015,0.000009629282,0.0001622721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8129743,"threshold_uncertainty_score":0.9999128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.329343353824807,"score_gpt":0.5403537153913232,"score_spread":0.2110103615665162,"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."}}