{"id":"W7100370659","doi":"","title":"THE MINERAL INDUSTRY OF SWEDEN—2001 22.1 THE MINERAL INDUSTRY OF","year":2016,"lang":"en","type":"article","venue":"","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Base metal; Mineral resource classification; Precious metal; Tonne; Per capita; Iron ore; Gross domestic product; Natural resource","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":[0.0006031449,0.0006010319,0.0001853826,0.00322699,0.001039801,0.003995176,0.0004102956,0.001456858,0.008754223],"category_scores_gemma":[0.0008833337,0.000378668,0.0002348768,0.003123807,0.0001783028,0.000965634,0.001328188,0.000775555,0.01219426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002466799,"about_ca_system_score_gemma":0.003695705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01816574,"about_ca_topic_score_gemma":0.03746404,"domain_scores_codex":[0.9993599,0.00005071023,0.0000738687,0.0001012376,0.0002729718,0.0001413742],"domain_scores_gemma":[0.9993275,0.00004461037,0.0001145164,0.0000202326,0.0002410627,0.0002520769],"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":[0.0003925908,0.0002527799,0.04480184,0.001432275,0.00005314198,0.001700955,0.001383709,0.0004813024,0.002795348,0.008097037,0.7272383,0.2113708],"study_design_scores_gemma":[0.00001257682,0.00004176764,0.06498453,0.0002169628,0.000008229864,0.0002682091,0.0006489824,0.00005478673,0.0003745632,0.0001654506,0.9332141,0.00000981284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3226922,0.1013572,0.0007681716,0.03869503,0.01260109,0.0002248316,0.04855236,0.0007196041,0.4743895],"genre_scores_gemma":[0.3038216,0.0632095,0.001628408,0.005934401,0.002663434,0.0001821671,0.06900342,0.0001719782,0.5533851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01816574,"threshold_uncertainty_score":0.03612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03651903660091588,"score_gpt":0.2108180892413772,"score_spread":0.1742990526404613,"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."}}