{"id":"W2603386643","doi":"","title":"Potash: An Inside Account of Saskatchewan's Pink Gold","year":2016,"lang":"en","type":"article","venue":"˜The œinnovation journal","topic":"Mining and Resource Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Insider; Politics; Government (linguistics); Endowment; Nothing; Sociology; Political science; Public administration; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005676521,0.0006756033,0.0003249708,0.001379558,0.008292677,0.006102838,0.0009680548,0.001947774,0.06349675],"category_scores_gemma":[0.0009095299,0.0005066224,0.0002547136,0.003322351,0.002060344,0.002123922,0.002624045,0.002812712,0.01062656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02621082,"about_ca_system_score_gemma":0.03323731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8715003,"about_ca_topic_score_gemma":0.9722728,"domain_scores_codex":[0.9992418,0.00006481263,0.00002010254,0.0000660279,0.0003958654,0.0002113741],"domain_scores_gemma":[0.9991373,0.0001054945,0.0000325877,0.00005852164,0.0003801844,0.0002857975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002090588,0.00001264868,0.0005855715,0.0001178484,0.000007603157,0.0004730855,0.001957377,0.0001231623,0.0007112822,0.01095375,0.9639976,0.02103905],"study_design_scores_gemma":[0.0000014595,0.000002239925,0.001128115,0.00006439981,0.000001577775,0.00004805279,0.00160501,0.00001208039,0.0000846727,0.0002729863,0.9967687,0.00001073901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0144038,0.08178731,0.000466425,0.09906147,0.01465066,0.0001028075,0.002750034,0.0002831294,0.7864944],"genre_scores_gemma":[0.0280767,0.01909486,0.000303786,0.0110946,0.0005160244,0.0000250446,0.0004156001,0.000187082,0.9402862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1284997,"threshold_uncertainty_score":0.258513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491499266191947,"score_gpt":0.2197082851113115,"score_spread":0.204793292449392,"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."}}