{"id":"W2785692224","doi":"10.4000/ideas.2268","title":"Mineral resources in the Americas — a continent under mutation","year":2016,"lang":"en","type":"article","venue":"IdeAs","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut d'Histoire de l'Amérique Française","funders":"","keywords":"Overconsumption; Natural resource economics; Incentive; Boom; Mineral resource classification; Mineral; Climate change; Earth science; Business; Environmental protection; Economics; Environmental science; Geology; Ecology; Biology; Geochemistry; Market economy; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005308737,0.000195757,0.000254734,0.0008052253,0.005342547,0.003364512,0.0005036487,0.001108948,0.003504786],"category_scores_gemma":[0.0005799693,0.0001064221,0.0001663481,0.001480696,0.003797303,0.002191094,0.002888003,0.0013825,0.0003050059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002217724,"about_ca_system_score_gemma":0.005416435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0491122,"about_ca_topic_score_gemma":0.09595727,"domain_scores_codex":[0.9996935,0.00005466105,0.0000108959,0.00003758422,0.00009467696,0.0001087645],"domain_scores_gemma":[0.999728,0.00003077697,0.00003519755,0.00002314274,0.00009841543,0.00008447239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001718846,0.0001270449,0.02322745,0.0004509242,0.00006884099,0.003213079,0.02867533,0.0005062111,0.006491235,0.4673634,0.1400832,0.3296214],"study_design_scores_gemma":[0.000009645109,0.00003509614,0.02049329,0.0001153513,0.00001279118,0.0005048769,0.01549748,0.0001000349,0.0004360899,0.0235148,0.9392655,0.0000150325],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3346269,0.06137413,0.0009293536,0.2724056,0.002546039,0.00002886678,0.0003349866,0.0001383821,0.3276159],"genre_scores_gemma":[0.9136781,0.02372226,0.002041072,0.02202506,0.0006183616,0.00001474861,0.0001423565,0.0000578949,0.03770024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0491122,"threshold_uncertainty_score":0.09765267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028530344893331,"score_gpt":0.2201643981750991,"score_spread":0.2098790947261658,"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."}}