{"id":"W6981776507","doi":"","title":"Feature Story: Meet the new Executive Lead - Indigenization","year":2016,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Bioactive natural compounds","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Feature (linguistics); Indigenization; Indigenous; Lead (geology); Executive summary; Public policy; Audit","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002025489,0.0005078902,0.0002804112,0.0003642199,0.007789996,0.005941945,0.001038792,0.003514118,0.1191485],"category_scores_gemma":[0.003989251,0.0002450459,0.0003947972,0.0003305953,0.001542627,0.003053893,0.003453199,0.007312134,0.04197109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967845,"about_ca_system_score_gemma":0.003793632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02140224,"about_ca_topic_score_gemma":0.08353934,"domain_scores_codex":[0.9988949,0.0002085547,0.0000206165,0.0001227773,0.0003820131,0.0003711935],"domain_scores_gemma":[0.997175,0.0001553431,0.0000631988,0.0001174045,0.0004959677,0.001993063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001145341,0.00001383913,0.0001399139,0.000009431194,8.161625e-7,0.0000889765,0.0004650359,0.000007429916,0.00006950417,0.001652084,0.9918534,0.005688159],"study_design_scores_gemma":[0.000002052335,0.00000987072,0.0001874587,0.00001291372,6.825329e-7,0.00007284008,0.001258177,0.000009128898,0.00005919547,0.0001734777,0.9982101,0.000004269474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007409865,0.004339667,0.0008781663,0.4409581,0.07089192,0.0001035019,0.0008539026,0.001281841,0.4732831],"genre_scores_gemma":[0.01468205,0.001005575,0.0003549335,0.05142557,0.003123197,0.00003574799,0.0002558577,0.0004145918,0.9287025],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1191485,"threshold_uncertainty_score":0.3985916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006057246382861144,"score_gpt":0.2070039056737845,"score_spread":0.2009466592909234,"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."}}