{"id":"W4253707514","doi":"10.1002/9781118725771.ch31","title":"Resources","year":2015,"lang":"en","type":"other","venue":"","topic":"Mining and Resource Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Resource (disambiguation); Scholarship; Science studies; Exploitation of natural resources; Politics; State (computer science); Land grabbing; Political science; Sociology; Social science; Environmental ethics; Natural resource; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001710989,0.0005446826,0.0005207165,0.002431991,0.003078172,0.008675326,0.002229928,0.001779715,0.3669267],"category_scores_gemma":[0.008062228,0.0003025955,0.0003203267,0.0050463,0.001500308,0.00684147,0.005698252,0.001792733,0.1388537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003622233,"about_ca_system_score_gemma":0.007715371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009131918,"about_ca_topic_score_gemma":0.01520243,"domain_scores_codex":[0.9979066,0.0004376315,0.0001546677,0.000256678,0.0009729616,0.0002714692],"domain_scores_gemma":[0.9981262,0.0004297255,0.0001132955,0.0003364418,0.0007291351,0.0002651796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001743157,0.0000229204,0.0002942397,0.0003853323,0.000003758705,0.0001263152,0.0008786151,0.0001806847,0.0001354784,0.3131716,0.5268213,0.1579623],"study_design_scores_gemma":[4.136238e-7,0.000001432213,0.00005361411,0.00009283816,3.111658e-7,0.00002337614,0.0001600347,0.000006958839,0.00001410427,0.002755313,0.9968901,0.000001392597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004350476,0.002777974,0.002022696,0.00497116,0.0009233566,0.000105015,0.001976413,0.0002294671,0.9865589],"genre_scores_gemma":[0.01440715,0.01071648,0.005839879,0.003881254,0.000496184,0.0003173286,0.0056248,0.0004194989,0.9582974],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6330733,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009349873344273438,"score_gpt":0.1882786727590799,"score_spread":0.1789287994148065,"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."}}