{"id":"W7010926601","doi":"","title":"Integrating socio-economic objectives for mine closure and&#13;\\nremediation into impact assessment in Canada","year":2020,"lang":"en","type":"report","venue":"Memorial University Research Repository (Memorial University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indigenous and Northern Affairs Canada; Ministère de l'Énergie et des Ressources Naturelles; Australian Centre for Geomechanics; University of Aberdeen; University of Minnesota","keywords":"Closure (psychology); Social impact assessment; Environmental impact assessment; Context (archaeology); Land reclamation; Audit; Impact assessment; Indigenous; Work (physics)","routes":{"ca_aff":false,"ca_fund":true,"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":[0.004861312,0.0005351515,0.0005414927,0.006144512,0.004245949,0.005792317,0.002060653,0.000695948,0.003748484],"category_scores_gemma":[0.009746551,0.000311125,0.0008679958,0.00703226,0.002030563,0.00123301,0.003448014,0.001485083,0.0002770915],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1818424,"about_ca_system_score_gemma":0.2536594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997696,"about_ca_topic_score_gemma":0.9990264,"domain_scores_codex":[0.995233,0.000454481,0.0001872224,0.0002119,0.002892729,0.001020726],"domain_scores_gemma":[0.9888784,0.001206745,0.0005040973,0.0001316951,0.007959938,0.001319183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002992036,0.0003391344,0.5397989,0.002041531,0.0004315926,0.0008913167,0.0091905,0.06096869,0.0009102557,0.07048439,0.06937747,0.2452671],"study_design_scores_gemma":[0.00005087399,0.0001262274,0.7817768,0.00170406,0.0001975048,0.0001329091,0.02098009,0.04177225,0.001304912,0.01211236,0.139613,0.0002289894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6099133,0.01371167,0.02431916,0.02615031,0.0003077006,0.002025628,0.03075089,0.0004651188,0.2923563],"genre_scores_gemma":[0.9530499,0.005633267,0.01496439,0.0009599436,0.00002073501,0.0002098755,0.004250305,0.00008805607,0.0208235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1818424,"threshold_uncertainty_score":0.9489468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429521368373965,"score_gpt":0.3113236547617742,"score_spread":0.2770284410780345,"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."}}