{"id":"W7165258392","doi":"","title":"Recursos naturales estratégicos: los hidrocarburos y el agua","year":2006,"lang":"es","type":"article","venue":"MiCISAN","topic":"Mexican Socioeconomic and Environmental Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural resource; Context (archaeology); Population; Work (physics); Metropolitan area","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":[0.000314183,0.0002166872,0.0001172252,0.0007477379,0.001082421,0.001653234,0.0004401584,0.0004130077,0.003834135],"category_scores_gemma":[0.0003787068,0.00009445703,0.0001455576,0.001316856,0.0007561892,0.0007647448,0.0006202526,0.0003669455,0.0001458432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003758743,"about_ca_system_score_gemma":0.003105667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2137495,"about_ca_topic_score_gemma":0.3921733,"domain_scores_codex":[0.9998534,0.00002669938,0.000003680962,0.00003473996,0.00004014409,0.00004135036],"domain_scores_gemma":[0.9997879,0.00002608291,0.0000816322,0.00001052979,0.00006245626,0.0000313924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005763125,0.0002910724,0.61092,0.00131678,0.000151419,0.001528847,0.01089749,0.004183359,0.03126364,0.05116919,0.01252924,0.2751727],"study_design_scores_gemma":[0.00001568755,0.0001677597,0.7434461,0.0005457568,0.0001039691,0.0004336922,0.01949427,0.001125744,0.004934409,0.003907461,0.2257986,0.0000266457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9253878,0.01916764,0.00170927,0.007932029,0.0000655117,0.00003918278,0.0008249593,0.00004030246,0.04483327],"genre_scores_gemma":[0.9724665,0.01168903,0.001227438,0.0001748406,0.00003713851,0.00002678777,0.0003093818,0.000006092806,0.01406274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2137495,"threshold_uncertainty_score":0.4250106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004555431222209892,"score_gpt":0.2129568101198886,"score_spread":0.2084013788976787,"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."}}