{"id":"W4413224766","doi":"10.31436/ijohs.v6i2.336","title":"The digital workflow in dentistry: adoption and challenges","year":2025,"lang":"en","type":"article","venue":"International Journal of Orofacial and Health Sciences","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"","keywords":"Workflow; Prosthodontics; Personalization; Computer science; Cone beam computed tomography; Field (mathematics); CAD; Engineering; Dentistry; Engineering drawing; Computed tomography; Medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02046138,0.0003494209,0.0003922653,0.002239092,0.002380353,0.01175844,0.002413049,0.003135007,0.003869656],"category_scores_gemma":[0.0268812,0.0003886231,0.0004729762,0.003520487,0.006071954,0.01232219,0.006656951,0.003932578,0.0009110551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005373442,"about_ca_system_score_gemma":0.01552854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006368538,"about_ca_topic_score_gemma":0.006662733,"domain_scores_codex":[0.9856362,0.004596486,0.001449399,0.001288248,0.005812154,0.00121747],"domain_scores_gemma":[0.9683092,0.01693508,0.003435313,0.001417244,0.005934099,0.003969058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009500264,0.0002835199,0.01992693,0.001859027,0.00002097206,0.0005932119,0.00953779,0.001590632,0.0009253771,0.15556,0.01836102,0.7912466],"study_design_scores_gemma":[0.00005200375,0.0004838039,0.03571235,0.009048962,0.00006022837,0.005195577,0.1109911,0.01121541,0.001914506,0.2018495,0.623235,0.0002415586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.164346,0.1317758,0.03817281,0.5838627,0.003273954,0.0002322434,0.0002606329,0.0003217352,0.07775411],"genre_scores_gemma":[0.7593408,0.1568822,0.05219906,0.02076226,0.002897814,0.000192758,0.0002348393,0.0001214511,0.0073688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02046138,"threshold_uncertainty_score":0.1082114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0949633903816957,"score_gpt":0.4318369237849131,"score_spread":0.3368735334032174,"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."}}