{"id":"W3087138077","doi":"","title":"Antes de que se funda","year":2020,"lang":"en","type":"article","venue":"National geographic/The complete National geographic/The National geographic magazine","topic":"Geography and Environmental Studies in Latin America","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; 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","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.007738268,0.001262408,0.0009745336,0.001818413,0.007355137,0.0007686798,0.003425236,0.0006351162,0.004286389],"category_scores_gemma":[0.002721295,0.00105239,0.00184558,0.01010533,0.007360515,0.001083358,0.0008306977,0.002040927,0.0004890041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003951365,"about_ca_system_score_gemma":0.000942325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002715701,"about_ca_topic_score_gemma":0.002631195,"domain_scores_codex":[0.9818019,0.001815232,0.001923255,0.001932608,0.01036168,0.002165328],"domain_scores_gemma":[0.9887616,0.004890942,0.001205848,0.0005608715,0.003609494,0.0009712272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007084304,0.001587882,0.4387715,0.0001752924,0.003440894,0.00004183823,0.004916668,0.008732116,0.001050545,0.4535226,0.07877622,0.008275994],"study_design_scores_gemma":[0.001262408,0.0002162313,0.4245547,0.00006204643,0.000170159,0.00004990263,0.0008082415,0.002169551,0.000004329848,0.05378266,0.5158727,0.001047031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08026893,0.01744656,0.00587682,0.4072331,0.003796021,0.01021193,0.007716693,0.003056179,0.4643937],"genre_scores_gemma":[0.9611784,0.005445967,0.001930429,0.02609776,0.002927877,0.0009233022,0.000665248,0.0001320861,0.0006988872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8809095,"threshold_uncertainty_score":0.9991927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04702727345841579,"score_gpt":0.2983130758677286,"score_spread":0.2512858024093128,"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."}}