{"id":"W3091311448","doi":"10.18174/cf.2020a17965","title":"Teaching extraction and its discontents","year":2020,"lang":"en","type":"article","venue":"Commodity Frontiers","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Natural resource; Commodity; Resource (disambiguation); Sociology; Section (typography); Work (physics); Extraction (chemistry); Political science; Social science; Engineering; Law; Economics; Business; Computer science","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":[0.01111953,0.0002746667,0.0003171724,0.0009936326,0.01599932,0.01202705,0.001013139,0.003305951,0.009017241],"category_scores_gemma":[0.01994685,0.0002660149,0.0001879004,0.001423807,0.03658655,0.01055865,0.006072487,0.008889221,0.001421891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01969625,"about_ca_system_score_gemma":0.01428118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01477742,"about_ca_topic_score_gemma":0.02590666,"domain_scores_codex":[0.9905285,0.005384216,0.0002633365,0.0006810448,0.00197911,0.001163738],"domain_scores_gemma":[0.9758217,0.0189599,0.0009774145,0.0007031512,0.001550914,0.001987022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002492055,0.0000439609,0.0007083577,0.0001382918,0.00000354817,0.0003875625,0.1281761,0.0001556799,0.0003100213,0.4894017,0.3270706,0.05357913],"study_design_scores_gemma":[0.000005759834,0.00000844971,0.0004304977,0.0002464636,0.000001222031,0.0001148246,0.0447791,0.00009329498,0.0002215051,0.05342805,0.9006616,0.00000915587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01821277,0.02027881,0.0032046,0.7822062,0.01135984,0.00002037356,0.00003138712,0.0000580587,0.164628],"genre_scores_gemma":[0.7135424,0.01955012,0.001609455,0.08699793,0.00653962,0.00006835082,0.00005257659,0.0002410316,0.1713985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01969625,"threshold_uncertainty_score":0.142907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336384115113516,"score_gpt":0.2236796069842744,"score_spread":0.1803157658331392,"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."}}