{"id":"W2443943555","doi":"","title":"LAS LOSAS GRABADAS DE LA CAÑADA HONDA DE ITÁLICA. UNA REVISIÓN A LA LUZ DE LA UTILIZACIÓN DE TÉCNICAS DE ANÁLISIS DIGITAL DE IMÁGENES ENGRAVED SLABS FROM CAÑADA HONDA OF ITALICA. A REVISION IN LIGHT OF THE USE OF TECHNIQUES OF DIGITAL IMAGE ANALYSIS","year":2010,"lang":"es","type":"article","venue":"","topic":"Building materials and conservation","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Archaeology; Humanities; Typology; Geography; Cartography","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"],"consensus_categories":[],"category_scores_codex":[0.002043655,0.0004380683,0.001043544,0.0003998685,0.00009847955,0.0005540326,0.0008193188,0.000583431,0.0002509984],"category_scores_gemma":[0.001757999,0.0003353214,0.0005268032,0.001404334,0.0007856877,0.0007811574,0.0001699455,0.0004100119,0.000001416869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005492171,"about_ca_system_score_gemma":0.000837102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05436736,"about_ca_topic_score_gemma":0.003959341,"domain_scores_codex":[0.9960547,0.001057834,0.0012431,0.0005170648,0.0004964187,0.0006308561],"domain_scores_gemma":[0.9953899,0.002397183,0.0008940535,0.0008379898,0.0002378375,0.0002430562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001834427,0.0001552563,0.6700891,0.0003057854,0.0002341062,0.00002083075,0.0007645568,0.00007743687,0.322412,0.0003757347,0.0002487158,0.005133036],"study_design_scores_gemma":[0.0004432075,0.0001618555,0.4383951,0.0008577399,0.0006183789,0.00005045179,0.0003823491,0.003022909,0.5483437,0.001632891,0.005686867,0.0004045744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946778,0.0005162458,0.0006270243,0.0002677689,0.00003586517,0.000355035,0.002419551,0.00004700619,0.001053642],"genre_scores_gemma":[0.9839931,0.001341448,0.01427208,0.00007861971,0.00005307265,0.000007356951,0.0001475799,0.00002722017,0.00007950878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.231694,"threshold_uncertainty_score":0.9999099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048204431436319,"score_gpt":0.2546839071397911,"score_spread":0.2442018628254279,"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."}}