{"id":"W2251109607","doi":"","title":"PODRÍA CONVERTIRSE MÉXICO EN BASURERO AUTOMOTRIZ","year":2009,"lang":"es","type":"article","venue":"Gaceta UNAM (2000-2009)","topic":"Mexican Socioeconomic and Environmental Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.0008466611,0.0009539301,0.0009262208,0.0001340441,0.0004739107,0.0002365972,0.0011906,0.0007113694,0.02065201],"category_scores_gemma":[0.00005345497,0.001002172,0.0004702258,0.000366723,0.000889713,0.0006798302,0.0003720845,0.0008360955,0.02100356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002602238,"about_ca_system_score_gemma":0.0001863064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004781706,"about_ca_topic_score_gemma":0.00004148529,"domain_scores_codex":[0.9946799,0.0003439478,0.001061954,0.001470721,0.0007974899,0.001646027],"domain_scores_gemma":[0.9972142,0.0001272074,0.000418151,0.001358995,0.00001089357,0.0008705623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004648588,0.003580924,0.445854,0.0001746421,0.0005398483,0.0003907384,0.008199283,0.008465828,0.02090772,0.004713758,0.06737384,0.4393345],"study_design_scores_gemma":[0.001974046,0.000604965,0.8027964,0.00009614471,0.0002273941,0.00007007428,0.0005121597,0.01354158,0.0008361635,0.001109455,0.1766671,0.001564571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208496,0.001707942,0.0006149136,0.003495018,0.001126954,0.000938835,0.0005615313,0.000271272,0.07043391],"genre_scores_gemma":[0.9592283,0.001773317,0.00128527,0.004476265,0.0004129336,0.00001859354,0.0001286569,0.0001001585,0.03257645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4377699,"threshold_uncertainty_score":0.9992428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006577745240527605,"score_gpt":0.2144154051882112,"score_spread":0.2078376599476836,"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."}}