{"id":"W7043041904","doi":"","title":"A Town Divided","year":2018,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Work (physics); Placemaking; Rural economy; Mining industry; Surface mining","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":[0.0003688886,0.0004675785,0.0003758656,0.0008066745,0.01802003,0.007706794,0.001186602,0.001577631,0.07401839],"category_scores_gemma":[0.001001926,0.0003937125,0.0003432413,0.001148491,0.005029089,0.002870959,0.00669279,0.003569707,0.006252534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004700297,"about_ca_system_score_gemma":0.003648451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03513983,"about_ca_topic_score_gemma":0.09191347,"domain_scores_codex":[0.9987971,0.000176931,0.00002174207,0.0003277406,0.0002094076,0.0004670241],"domain_scores_gemma":[0.999382,0.00002880045,0.00003116966,0.00005285956,0.0000946479,0.0004104748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004947348,0.0004949619,0.01454312,0.0002366436,0.00007293979,0.01050934,0.06799158,0.000470943,0.004850384,0.2249063,0.5680016,0.1074274],"study_design_scores_gemma":[0.00003702223,0.0001137053,0.00759342,0.0001300263,0.0000179576,0.0009319642,0.05279335,0.00009546188,0.000287403,0.005183075,0.9327899,0.00002674323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1693564,0.002517023,0.003610289,0.03392147,0.005404199,0.000221499,0.0008830664,0.000337071,0.783749],"genre_scores_gemma":[0.5910234,0.0009332033,0.001207594,0.009566255,0.0003431299,0.00007957716,0.0004240027,0.0001640944,0.3962587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07401839,"threshold_uncertainty_score":0.2476162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125643766545265,"score_gpt":0.1909476614935467,"score_spread":0.1796912238280941,"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."}}