{"id":"W4406324550","doi":"10.9771/ccrh.v37i0.59712","title":"LA MEGARREGIÓN TEXAS-NORESTE DE MÉXICO, EL EJE WINNIPEG-MEGARREGIÓN DE LOS GRANDES LAGOS Y EL CORREDOR T-MEC","year":2024,"lang":"es","type":"article","venue":"Caderno CRH","topic":"Mexican Socioeconomic and Environmental Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.0001602404,0.0002322553,0.00009877732,0.0006517181,0.001530814,0.002283649,0.0003453901,0.0002545675,0.007053786],"category_scores_gemma":[0.0003696416,0.0001286796,0.0001247991,0.00153868,0.001807013,0.0008889061,0.001438954,0.0005125637,0.0002505957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004666741,"about_ca_system_score_gemma":0.003943142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3221208,"about_ca_topic_score_gemma":0.654011,"domain_scores_codex":[0.9998701,0.00001292307,0.000002701315,0.00003874527,0.00001871616,0.00005679413],"domain_scores_gemma":[0.9998108,0.00002273356,0.00006674098,0.00001337195,0.00004041908,0.00004596556],"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":[0.0003597622,0.00003815333,0.2571878,0.0002694385,0.00008312031,0.001324533,0.02261927,0.00178647,0.004569218,0.5546023,0.02270357,0.1344564],"study_design_scores_gemma":[0.00002875857,0.00005244155,0.47963,0.0002872544,0.00005726404,0.0004620187,0.02772187,0.0007849009,0.001282943,0.01262864,0.4770309,0.00003309612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7917472,0.002787788,0.004993191,0.005611319,0.0001511734,0.00006067421,0.00142986,0.0001008439,0.193118],"genre_scores_gemma":[0.9638471,0.001493658,0.001853924,0.0002914001,0.00002021555,0.0000383503,0.0004126688,0.00002452465,0.03201818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6778792,"threshold_uncertainty_score":0.6404916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008023135385674557,"score_gpt":0.2569795934975133,"score_spread":0.2489564581118388,"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."}}