{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002315027,0.0009816253,0.001755203,0.001055129,0.0005787903,0.0007431656,0.001229591,0.001103911,0.007996137],"category_scores_gemma":[0.0005548992,0.001003995,0.0004603725,0.001099888,0.0005657383,0.001846264,0.0004383253,0.0007415932,0.01161823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006712251,"about_ca_system_score_gemma":0.0004100587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007706798,"about_ca_topic_score_gemma":0.000318778,"domain_scores_codex":[0.993597,0.0001328213,0.002548098,0.001843386,0.0001966013,0.0016821],"domain_scores_gemma":[0.9950096,0.0004078611,0.001711369,0.002018401,0.0004360666,0.000416678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003187114,0.001079339,0.6925694,0.0005644677,0.0009970155,0.00007004786,0.0008280841,0.00002344268,0.001959577,0.07388634,0.2100592,0.0176444],"study_design_scores_gemma":[0.002692099,0.0001355029,0.3728957,0.0002235594,0.0000612447,0.00006763286,0.0000334041,0.0002428646,0.0005833682,0.004738476,0.6169152,0.001410972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9125658,0.006283903,0.003160913,0.01571446,0.007179183,0.001127133,0.001151181,0.000321792,0.05249567],"genre_scores_gemma":[0.9409664,0.004458521,0.0003926517,0.001358521,0.001452362,0.0001203852,0.0001495501,0.0002301017,0.05087151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.406856,"threshold_uncertainty_score":0.9992411,"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."}}