{"id":"W3045744727","doi":"10.33262/concienciadigital.v3i3.1307","title":"Aplicación móvil en realidad aumentada para la formación y comunicación de niños con Síndrome de Down","year":2020,"lang":"es","type":"article","venue":"ConcienciaDigital","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001434946,0.0006454667,0.001050881,0.0001001312,0.0003594409,0.0003173464,0.000814109,0.0005262599,0.0005292825],"category_scores_gemma":[0.00135776,0.0006309692,0.0003735611,0.0006059613,0.001069369,0.0007386466,0.0003857248,0.001027072,0.0008117163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195261,"about_ca_system_score_gemma":0.002910231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006688946,"about_ca_topic_score_gemma":0.00002561451,"domain_scores_codex":[0.9949231,0.0004369935,0.001072305,0.001036978,0.0008147124,0.001715869],"domain_scores_gemma":[0.9952715,0.0009656276,0.0003512446,0.0009576938,0.0001744514,0.002279478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001214588,0.001400415,0.88512,0.002643085,0.0003363548,0.001040386,0.03068607,0.00003816566,0.00624295,0.006684,0.01793062,0.04666334],"study_design_scores_gemma":[0.011905,0.004752461,0.6972047,0.0007564895,0.000856158,0.001469001,0.009816777,0.01054524,0.005078204,0.001319343,0.2538996,0.002397026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404304,0.0006510759,0.001255542,0.004255104,0.0001961982,0.001147196,0.0003560614,0.0003337992,0.05137461],"genre_scores_gemma":[0.9851724,0.0003656582,0.0004432144,0.01248956,0.0009486491,0.00006874177,0.0001495096,0.0000754729,0.0002867877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.235969,"threshold_uncertainty_score":0.9999663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020199588729222,"score_gpt":0.3235659005697806,"score_spread":0.2933639046824884,"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."}}