{"id":"W7039677030","doi":"","title":"Mining impact and Indigenous protected and conserved areas","year":2023,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Sustenance; Indigenous; Traditional knowledge; Natural resource; Land use; Resource (disambiguation); Land management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005196309,0.0001001276,0.0001399899,0.001790834,0.001416031,0.001836306,0.0002986285,0.000179128,0.002607882],"category_scores_gemma":[0.002798121,0.00007548321,0.0001363397,0.004524968,0.001432121,0.0007380504,0.00110493,0.0003231511,0.00008963035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00686074,"about_ca_system_score_gemma":0.005798069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6117826,"about_ca_topic_score_gemma":0.8152412,"domain_scores_codex":[0.9995446,0.0000746459,0.00001907205,0.00005746933,0.0001886627,0.0001156399],"domain_scores_gemma":[0.9989904,0.0002999073,0.0002661576,0.00003837833,0.0002956144,0.0001095654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006381631,0.00005963659,0.7637814,0.0004497774,0.00006071239,0.000727107,0.0841851,0.0009305208,0.001057199,0.01124341,0.00182047,0.1356208],"study_design_scores_gemma":[0.000001234417,0.00001507207,0.8891435,0.0001564999,0.00001760014,0.0001262057,0.09855594,0.0004014017,0.0002186776,0.001134487,0.01022198,0.00000743412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692668,0.001910228,0.0003747793,0.0005626012,0.000007888739,0.00001833297,0.0003903998,0.000006970771,0.02746202],"genre_scores_gemma":[0.9961548,0.00104054,0.0003111234,0.00003426258,0.000003707558,0.000008817461,0.0001318752,0.00000243884,0.002312403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3882174,"threshold_uncertainty_score":0.7810075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178193110515949,"score_gpt":0.2371197574569392,"score_spread":0.2153378263517797,"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."}}