{"id":"W1775360196","doi":"","title":"Community Engagement in Environmental Assessment for Resource Development: Benefits, Emerging Concerns, Opportunities for Improvement","year":2015,"lang":"en","type":"article","venue":"Northern review","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Community engagement; Resource (disambiguation); Public engagement; Process (computing); Community development; Public relations; Environmental resource management; Political science; Business; Environmental planning; Computer science; Geography; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.04839915,0.0008047697,0.001258358,0.003108185,0.007448619,0.0148795,0.002672665,0.004749516,0.006564781],"category_scores_gemma":[0.0366276,0.000460242,0.0007593376,0.005879722,0.009543511,0.01021871,0.01577368,0.004344036,0.0007743894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01615379,"about_ca_system_score_gemma":0.05505905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1069056,"about_ca_topic_score_gemma":0.223608,"domain_scores_codex":[0.9562724,0.03039454,0.001191914,0.001479919,0.007700006,0.002961151],"domain_scores_gemma":[0.9529744,0.03310897,0.001796464,0.001190685,0.007610138,0.003319353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009942603,0.0003089966,0.004467799,0.01535712,0.0001588011,0.0005229861,0.04199774,0.0009133687,0.0006162074,0.1486314,0.02152162,0.7654045],"study_design_scores_gemma":[0.00004602638,0.0002446648,0.009273524,0.02530918,0.0001229333,0.0004731019,0.08599716,0.0006488392,0.0007968174,0.07630816,0.8006524,0.0001270388],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02532928,0.6047053,0.01388261,0.1981697,0.001952637,0.0004373503,0.00009601623,0.0001043997,0.1553228],"genre_scores_gemma":[0.5254279,0.4240119,0.02107505,0.01562269,0.001070358,0.0006187378,0.0001265965,0.00007348636,0.01197336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1069056,"threshold_uncertainty_score":0.2559623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.186193770639953,"score_gpt":0.3474886742346188,"score_spread":0.1612949035946658,"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."}}