{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008881496,0.000786635,0.0006353852,0.0001233301,0.0003756847,0.000502543,0.0009807483,0.0007700506,0.005524907],"category_scores_gemma":[0.00006316893,0.0008003463,0.0004648282,0.0002571097,0.001985923,0.000561388,0.0005103286,0.001168845,0.005057165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111659,"about_ca_system_score_gemma":0.0002052483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007645719,"about_ca_topic_score_gemma":0.0001311309,"domain_scores_codex":[0.9957475,0.0003496433,0.0006789051,0.001265269,0.000546283,0.001412403],"domain_scores_gemma":[0.9978167,0.0004022314,0.0001944426,0.0007865833,0.000006133686,0.0007938447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001633001,0.0005635893,0.8345792,0.001094375,0.000495183,0.001271161,0.005796257,0.006471951,0.01067986,0.01465862,0.05386857,0.07035799],"study_design_scores_gemma":[0.001975689,0.0003385303,0.5618331,0.001223134,0.0007354608,0.001405352,0.003737943,0.07753281,0.002082751,0.007767315,0.3387054,0.002662577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330031,0.00455856,0.003716247,0.001368076,0.001017712,0.0006033742,0.0004685384,0.0002541493,0.0550102],"genre_scores_gemma":[0.9692346,0.002041253,0.0005070823,0.001201976,0.0005949382,0.00005844264,0.00007125792,0.0001829167,0.02610751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2848368,"threshold_uncertainty_score":0.9994447,"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."}}