{"id":"W4410146540","doi":"10.1111/cid.70049","title":"Intra Oral Photogrammetry: Trueness Evaluation of Novel Technology for Implant Complete‐Arch Digital Impression In Vitro","year":2025,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental materials and restorations","field":"Dentistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standard deviation; Implant; Photogrammetry; Mathematics; Absolute deviation; Dental implant; Impression; Orthodontics; Dentistry; Computer science; Statistics; Medicine; Artificial intelligence; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002551491,0.0005212951,0.0003112407,0.0007600768,0.0003298774,0.000719772,0.0004209771,0.0005141392,0.002953232],"category_scores_gemma":[0.005544588,0.0004680859,0.0003864998,0.0005773577,0.0005815856,0.0005643163,0.0007598515,0.0004565637,0.0005239997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000414648,"about_ca_system_score_gemma":0.0003365783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005133567,"about_ca_topic_score_gemma":0.001466161,"domain_scores_codex":[0.9971666,0.0005790985,0.0001771285,0.0003794546,0.001614827,0.0000829077],"domain_scores_gemma":[0.9951079,0.002056359,0.00075077,0.001071714,0.0009335628,0.00007971018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001901231,0.0003335938,0.04151944,0.000939084,0.0001181936,0.0002731543,0.001592297,0.003319735,0.7993398,0.0003945633,0.0005084497,0.1497605],"study_design_scores_gemma":[0.0001064348,0.005497139,0.3413397,0.0001399674,0.0003863035,0.003962952,0.001209722,0.01932715,0.6198791,0.000410694,0.007540765,0.0002000314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703435,0.001490904,0.02525501,0.00004394996,0.00009461133,0.0001332589,0.0002535047,0.00009488665,0.002290295],"genre_scores_gemma":[0.9723163,0.0005341749,0.02587621,0.00003154451,0.00002938831,0.00008529324,0.0001564368,0.00004337648,0.0009273022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002953232,"threshold_uncertainty_score":0.01349378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1966975443016996,"score_gpt":0.5028467495977494,"score_spread":0.3061492052960498,"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."}}