{"id":"W2419616195","doi":"","title":"MÉXICO, LA TERCERA NACIÓN CON MÁS BASURA ELECTRÓNICA. INCLUYE CROMO, PLOMO Y CADMIO","year":2016,"lang":"es","type":"article","venue":"Gaceta UNAM (2010-2015)","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"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":[0.0004427052,0.0007371268,0.0003446919,0.001545603,0.001816225,0.002796857,0.0007571038,0.0007336749,0.04366851],"category_scores_gemma":[0.0006768765,0.000334402,0.000366582,0.002234052,0.0006501482,0.001216781,0.001421928,0.0008035249,0.00456137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00285019,"about_ca_system_score_gemma":0.002261143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09414172,"about_ca_topic_score_gemma":0.189775,"domain_scores_codex":[0.9996827,0.0000320805,0.00001069539,0.0000976184,0.0001047702,0.00007220046],"domain_scores_gemma":[0.9994813,0.00004927232,0.0001376833,0.00005345512,0.0002014184,0.00007692488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007478363,0.0004439244,0.1590265,0.002735546,0.000266058,0.002208461,0.005412923,0.0007528851,0.03194001,0.04272737,0.1820205,0.5717179],"study_design_scores_gemma":[0.00003036065,0.0001736901,0.133256,0.0004945342,0.00009751909,0.0006190382,0.00326996,0.0002196288,0.002576064,0.0009884516,0.858241,0.00003374698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3756524,0.01465056,0.01036095,0.01167141,0.001238436,0.0002725231,0.01674279,0.002225563,0.5671854],"genre_scores_gemma":[0.5898192,0.01533111,0.01807795,0.00224204,0.0004193445,0.0002173755,0.01316662,0.000377276,0.3603491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09414172,"threshold_uncertainty_score":0.1871875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496753100705373,"score_gpt":0.2351383606850799,"score_spread":0.2101708296780262,"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."}}