{"id":"W7155261087","doi":"","title":"Tecnologías de información y comunicación, capital social y bienestar económico en América Latina y el Caribe","year":2008,"lang":"es","type":"report","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Capital (architecture); Work (physics); Population; Government (linguistics)","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":[0.009262853,0.0008051643,0.0005474524,0.0103377,0.005182468,0.01706618,0.001400127,0.002152864,0.009067244],"category_scores_gemma":[0.01781588,0.0004615012,0.0006858812,0.0218633,0.006577618,0.009171824,0.004881615,0.001759305,0.0007970473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02514548,"about_ca_system_score_gemma":0.0461562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4262287,"about_ca_topic_score_gemma":0.3637998,"domain_scores_codex":[0.99141,0.00463992,0.0003801677,0.0005282189,0.002020774,0.001020988],"domain_scores_gemma":[0.9790171,0.01121585,0.002200129,0.001786556,0.004733036,0.001047283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001171505,0.0002330763,0.07300026,0.0009224731,0.00009051326,0.0004269821,0.04217733,0.002286203,0.001068563,0.5427595,0.03276406,0.3041539],"study_design_scores_gemma":[0.00005911071,0.00009185243,0.1194361,0.002159881,0.0002071001,0.0005663961,0.1233885,0.003679678,0.003031421,0.1394918,0.6077889,0.00009914554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1840542,0.04970375,0.01381173,0.07534585,0.000584873,0.000305931,0.002875533,0.000586424,0.6727318],"genre_scores_gemma":[0.8319141,0.06953705,0.01347289,0.001446972,0.0005208197,0.0004551829,0.001376437,0.0001784537,0.08109798],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4262287,"threshold_uncertainty_score":0.8474955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668297950817166,"score_gpt":0.2717980616188582,"score_spread":0.2451150821106865,"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."}}