{"id":"W4391323964","doi":"10.3390/healthcare12030332","title":"Lower Jaw Full-Arch Restoration: A Completely Digital Approach to Immediate Load","year":2024,"lang":"en","type":"article","venue":"Healthcare","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Medicine; Dentistry; Dental implant; Bridge (graph theory); Dental arch; Implant; Computer science; Surgery","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001855608,0.0001963961,0.0002431714,0.0001249436,0.0001165413,0.0004291805,0.0002014711,0.000132914,0.00007035713],"category_scores_gemma":[0.000043468,0.0001765988,0.0001095233,0.0004254503,0.00003467832,0.0002796372,0.0001499937,0.0003185236,0.002610629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796581,"about_ca_system_score_gemma":0.0001679264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005591367,"about_ca_topic_score_gemma":0.0004457266,"domain_scores_codex":[0.9981509,0.0000400333,0.0003954209,0.0004607283,0.00052919,0.000423684],"domain_scores_gemma":[0.9991093,0.00006457588,0.00003778045,0.0003810922,0.000124307,0.0002829743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000648655,0.0004413007,0.02238439,0.003727606,0.00014397,0.009723945,0.003427122,0.00001311433,0.000912116,0.05043739,0.7910476,0.1170928],"study_design_scores_gemma":[0.0004797848,0.0006516888,0.02959286,0.0004692759,0.00002526926,0.007403052,0.0007360869,0.0008955498,0.0001978158,0.001211921,0.9575109,0.0008258297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8626859,0.00586765,0.01430385,0.01395307,0.0150897,0.003245979,0.003091792,0.004188703,0.07757342],"genre_scores_gemma":[0.9924839,0.00001867678,0.0008498492,0.001211129,0.0003474785,0.00008294392,0.0002776871,0.00004526401,0.004683093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1664632,"threshold_uncertainty_score":0.998166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06857260941519905,"score_gpt":0.3570677821184557,"score_spread":0.2884951727032567,"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."}}