{"id":"W2973022365","doi":"","title":"Co-designing Benefits Management Structures","year":2019,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (University of Western Australia)","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indigenous and Northern Affairs Canada; Aboriginal Affairs and Northern Development Canada; University of Melbourne; Department of Biotechnology, Ministry of Science and Technology, India; Government of Canada","keywords":"Indigenous; Identification (biology); Context (archaeology); Principal (computer security); Political science; Business; Public relations; Knowledge management; Geography; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01766765,0.0007051791,0.0003692061,0.002576685,0.004753201,0.008045618,0.002030617,0.001904212,0.0142084],"category_scores_gemma":[0.0260421,0.0006640912,0.001054752,0.001689752,0.004669881,0.009846243,0.01031954,0.002558378,0.00276347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004503687,"about_ca_system_score_gemma":0.01097587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635518,"about_ca_topic_score_gemma":0.004335905,"domain_scores_codex":[0.9826626,0.0118638,0.0005691888,0.001209799,0.002505718,0.001188936],"domain_scores_gemma":[0.9765922,0.01307281,0.001268809,0.004738389,0.002776162,0.001551554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009817263,0.0004849714,0.005780473,0.001168816,0.00006337824,0.0008307616,0.06898989,0.008589174,0.007873815,0.5469261,0.01607962,0.3431149],"study_design_scores_gemma":[0.00007709292,0.0004264404,0.003521458,0.001174876,0.000112797,0.0008772991,0.05457086,0.01553232,0.009506582,0.2627026,0.6514053,0.00009232825],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1052935,0.0009481057,0.642196,0.01162338,0.0004895856,0.002443808,0.0001883415,0.001088382,0.235729],"genre_scores_gemma":[0.4651166,0.0005993406,0.5075319,0.0006136168,0.0000686549,0.001559668,0.0002946636,0.0004332222,0.02378242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01766765,"threshold_uncertainty_score":0.0934366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508027618504246,"score_gpt":0.2702364466671198,"score_spread":0.2251561704820773,"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."}}