{"id":"W7006607521","doi":"","title":"Utilización de bloques de raíces dentales autógenas para la
\\nreconstrucción de la cresta alveolar como enfoque novedoso y
\\nmenos invasivo que los bloques de hueso autólogo. Revisión
\\nsistemática y metaanálisis.","year":2021,"lang":"es","type":"dissertation","venue":"Library Open Repository (Universidad Complutense Madrid)","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Statistical analysis; Function (biology)","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001668271,0.002700788,0.00387571,0.00123377,0.00225564,0.007794808,0.006137312,0.003025293,0.001849393],"category_scores_gemma":[0.0002883582,0.003169892,0.002356795,0.001330425,0.001461348,0.005328008,0.003230822,0.00313869,0.0001681615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188969,"about_ca_system_score_gemma":0.003843077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01684473,"about_ca_topic_score_gemma":0.002640016,"domain_scores_codex":[0.983082,0.007167329,0.002637187,0.003104013,0.001373897,0.00263559],"domain_scores_gemma":[0.9894843,0.002969142,0.00247322,0.00295686,0.0003784327,0.001738116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003988154,0.003019376,0.6701518,0.008633153,0.009945422,0.1482314,0.009529882,0.000140925,0.03057264,0.02847869,0.08398354,0.003325122],"study_design_scores_gemma":[0.006304723,0.0009993206,0.5961267,0.017202,0.008073538,0.09526133,0.03405102,0.002595762,0.1428089,0.005982243,0.08257863,0.00801584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8645752,0.01025838,0.0006514683,0.0003789454,0.001615205,0.002576418,0.001365513,0.001447449,0.1171314],"genre_scores_gemma":[0.9031587,0.01116198,0.01873946,0.002004284,0.0007631891,0.0003134099,0.005006417,0.0008477304,0.05800482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1122363,"threshold_uncertainty_score":0.99924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724627618062778,"score_gpt":0.2982029005912518,"score_spread":0.280956624410624,"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."}}