{"id":"W6990158529","doi":"","title":"Construcción de un modelo digital 3D de piezas precolombinas utilizando escaneo láser","year":2010,"lang":"es","type":"other","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":"3d model; Object (grammar); Digital era","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":[0.0003183038,0.0005033691,0.0004429391,0.0007418508,0.0005913472,0.003353748,0.0008929852,0.001154271,0.00663512],"category_scores_gemma":[0.0008118373,0.0005774304,0.0008978392,0.000666152,0.001536005,0.00196089,0.001454335,0.0007765426,0.001052156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007923994,"about_ca_system_score_gemma":0.001443374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004840143,"about_ca_topic_score_gemma":0.00499371,"domain_scores_codex":[0.9996427,0.00003238229,0.00001511611,0.0000676192,0.0002093935,0.00003273567],"domain_scores_gemma":[0.9997749,0.00007234242,0.00002041937,0.00005166871,0.0000642354,0.00001655591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001535025,0.00009655194,0.005506253,0.0009690122,0.00007652833,0.001175463,0.003985982,0.4340986,0.1108169,0.233311,0.003926183,0.2058842],"study_design_scores_gemma":[0.00004545579,0.00028536,0.004593058,0.0003682387,0.0001090949,0.001806374,0.003417053,0.7192382,0.05412383,0.03148123,0.1842928,0.0002393478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07633194,0.0006503646,0.8820262,0.0004509756,0.0001666298,0.0001355609,0.0003989114,0.001075928,0.03876351],"genre_scores_gemma":[0.6045487,0.00163199,0.366435,0.0001382005,0.00002112457,0.0002737558,0.0004630726,0.0002838705,0.02620421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00663512,"threshold_uncertainty_score":0.02219671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561683508469757,"score_gpt":0.2385772419912965,"score_spread":0.2229604069065989,"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."}}