{"id":"W2078409179","doi":"10.4028/www.scientific.net/amm.737.800","title":"Alberta Management of Mineral Resources and its Reference to China","year":2015,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mineral resource classification; China; Business; Natural resource economics; Natural resource; Natural mineral; Environmental protection; Environmental resource management; Mining engineering; Environmental planning; Geography; Environmental science; Political science; Law; Geology; Geochemistry; Economics","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":[0.0003520194,0.0003361037,0.0001725446,0.00194876,0.004355613,0.003041866,0.0007993311,0.0006416359,0.009717952],"category_scores_gemma":[0.0007013759,0.0001416928,0.0001469183,0.004920299,0.001629801,0.0006775325,0.001033708,0.0009388247,0.0008221376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02031663,"about_ca_system_score_gemma":0.04404742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.914347,"about_ca_topic_score_gemma":0.9490147,"domain_scores_codex":[0.9992539,0.00003117815,0.00002528635,0.00006880678,0.000427054,0.0001937769],"domain_scores_gemma":[0.9995916,0.00002194806,0.00002580103,0.00002210928,0.0002556127,0.00008279779],"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":[0.00006496728,0.00004566357,0.008858922,0.0002929342,0.00001917894,0.001647636,0.003686594,0.00140917,0.002159028,0.5861687,0.2421371,0.1535101],"study_design_scores_gemma":[0.000003139655,0.000006611146,0.01137052,0.00005327377,0.000006588701,0.0001420601,0.0008299352,0.0003480445,0.0004346159,0.003967445,0.9828178,0.00002000287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03291044,0.01567695,0.001962114,0.01019445,0.001104597,0.0001159712,0.0015546,0.0002519779,0.936229],"genre_scores_gemma":[0.2100046,0.01178498,0.003661032,0.002312099,0.0001996595,0.00004896218,0.001141682,0.00006546735,0.7707815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08565301,"threshold_uncertainty_score":0.1723148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680683221227412,"score_gpt":0.2107614894496231,"score_spread":0.193954657237349,"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."}}