{"id":"W3082740155","doi":"10.1177/2514848620954361","title":"Beyond remediation: Containing, confronting and caring for the Giant Mine Monster","year":2020,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Mining and Resource Management","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Environmental remediation; Environmental planning; Political science; Geography; Ecology","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":[0.003263929,0.000635564,0.0006808258,0.0007685415,0.04501424,0.008946813,0.002534959,0.004954505,0.002233222],"category_scores_gemma":[0.005157107,0.0003621738,0.0004635239,0.001097932,0.05057693,0.006226421,0.01114326,0.008526946,0.0003461356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02941308,"about_ca_system_score_gemma":0.04332056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6548482,"about_ca_topic_score_gemma":0.8337244,"domain_scores_codex":[0.9945199,0.002152562,0.00008109357,0.0003391609,0.0008076133,0.002099673],"domain_scores_gemma":[0.9960549,0.001063584,0.0004510399,0.0001686973,0.0005852251,0.001676506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001451611,0.00002131012,0.00211965,0.00007340412,0.000006528944,0.001783651,0.9702172,0.00007909555,0.0004625496,0.01098424,0.008245845,0.005992168],"study_design_scores_gemma":[0.000001781686,0.00001574524,0.001108088,0.0001056343,0.000005731484,0.0006212609,0.9354831,0.00007618946,0.0001537717,0.001396716,0.06101191,0.00002007108],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8063118,0.005617411,0.006008056,0.09604228,0.001054503,0.000120648,0.00008560932,0.0001083032,0.08465118],"genre_scores_gemma":[0.9735684,0.002173843,0.001339505,0.00731528,0.0000756193,0.00003017331,0.00002848528,0.00004677338,0.01542186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3451518,"threshold_uncertainty_score":0.6943689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007658722202046003,"score_gpt":0.1863889512849568,"score_spread":0.1787302290829108,"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."}}