{"id":"W2509494810","doi":"","title":"La cartografía náutica antigua como fuente de información para la investigación histórica : semiología documental y recuperación de conocimiento","year":2016,"lang":"es","type":"dissertation","venue":"TDR (Tesis Doctorales en Red)","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; 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","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00296119,0.001274626,0.001525303,0.0009706585,0.001572395,0.000504074,0.00165501,0.002245917,0.0007740599],"category_scores_gemma":[0.0008766937,0.001172717,0.001581364,0.002038753,0.002587612,0.0008605054,0.0001805064,0.001456043,0.0002508911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111117,"about_ca_system_score_gemma":0.001082473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004178084,"about_ca_topic_score_gemma":0.0005802759,"domain_scores_codex":[0.9900257,0.003744028,0.001509993,0.0012961,0.00128136,0.002142834],"domain_scores_gemma":[0.9939566,0.002369031,0.001008038,0.0008799607,0.0003634166,0.001422978],"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":[0.0009820319,0.001134281,0.7797189,0.00140434,0.001627901,0.0003623501,0.08091486,0.000008577712,0.007042117,0.03942076,0.03148308,0.05590077],"study_design_scores_gemma":[0.001341196,0.0003861361,0.07979833,0.001121177,0.0007535905,0.00003952107,0.006196451,0.00001215522,0.000975667,0.002556036,0.9049633,0.001856403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811623,0.005092636,0.00006067585,0.001346358,0.001494397,0.001057364,0.0004086067,0.0005590541,0.1088186],"genre_scores_gemma":[0.9714464,0.02008177,0.000878245,0.0006337909,0.0006356572,0.0003374311,0.0007347877,0.00012266,0.005129274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8734803,"threshold_uncertainty_score":0.9997274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628501489654094,"score_gpt":0.3342147139451646,"score_spread":0.3179296990486236,"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."}}