{"id":"W4306167077","doi":"10.33960/issn-e.1885-9119.dtfo06","title":"Por una transición digital incluyente y justa, desde Latinoamérica al mundo","year":2022,"lang":"es","type":"report","venue":"","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Political science; Humanities; Persona; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.001174347,0.00108999,0.002225952,0.001547252,0.0008563265,0.0009611358,0.001027433,0.0006699804,0.02264845],"category_scores_gemma":[0.0002112817,0.00138472,0.0008446958,0.001656287,0.0002627961,0.001625329,0.0005138807,0.00126618,0.001599704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114227,"about_ca_system_score_gemma":0.0008283014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002332037,"about_ca_topic_score_gemma":0.0001479962,"domain_scores_codex":[0.9927735,0.00002435437,0.003800299,0.001916182,0.0002825856,0.001203071],"domain_scores_gemma":[0.9953582,0.0001725437,0.002533365,0.001317193,0.0003754903,0.0002431693],"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":[0.0001811277,0.001635337,0.7416347,0.001806658,0.001950137,0.0002054858,0.0008957321,0.0006030258,0.000004202722,0.04889451,0.171413,0.03077619],"study_design_scores_gemma":[0.001074173,0.0001386145,0.056269,0.00008435153,0.000062365,0.0001108257,0.000331014,0.000533896,0.000006603602,0.002652254,0.9371051,0.001631766],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1561053,0.004208528,0.002679638,0.001688981,0.006716055,0.001259013,0.004747988,0.0002829438,0.8223115],"genre_scores_gemma":[0.8651293,0.008461678,0.0005446618,0.002463431,0.001607106,0.0002604919,0.005829348,0.0003837912,0.1153202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7656922,"threshold_uncertainty_score":0.9991777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0435177546749537,"score_gpt":0.2480365737638081,"score_spread":0.2045188190888544,"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."}}