{"id":"W2271027121","doi":"10.4012/dmj.2014-313","title":"Digitization of dental alginate impression: Three-dimensional evaluation of point cloud","year":2015,"lang":"en","type":"article","venue":"Dental Materials Journal","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea University","keywords":"Digitization; Impression; Materials science; Point cloud; Point (geometry); Cloud computing; Biomedical engineering; Dentistry; Computer science; Artificial intelligence; Computer vision; Medicine; World Wide Web; Mathematics; Geometry","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":[0.002302611,0.0001666899,0.0003639564,0.0001376563,0.00007887184,0.0001265248,0.0001805126,0.0001233188,0.001116675],"category_scores_gemma":[0.0002799479,0.0001448875,0.0001311956,0.0001254785,0.00008583479,0.0004038464,0.0001592055,0.0001098126,0.0000617168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124684,"about_ca_system_score_gemma":0.0001884287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007630012,"about_ca_topic_score_gemma":0.00004355133,"domain_scores_codex":[0.9967152,0.0002713623,0.0009217294,0.0001687981,0.001717869,0.0002050157],"domain_scores_gemma":[0.9978693,0.00002793097,0.0008522993,0.0001831675,0.0008691598,0.00019815],"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":[0.0009418029,0.0005578408,0.3328634,0.00009673482,0.0002010901,0.0002069624,0.0002962885,0.0008260985,0.6556386,0.0009653034,0.003073969,0.004331878],"study_design_scores_gemma":[0.006721624,0.0004511843,0.2686121,0.0003919632,0.0004816271,0.003038861,0.0004343362,0.001527898,0.7129097,0.004746234,0.0002480323,0.0004363633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917157,0.0002835625,0.0009995543,0.00001488057,0.006210602,0.0002117383,0.000154786,0.00001449546,0.0003946454],"genre_scores_gemma":[0.998813,0.000008256404,0.0003966139,0.00001932238,0.0005930323,0.000003594176,0.0000856983,0.00002537975,0.00005509084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06425125,"threshold_uncertainty_score":0.9997965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05040618906538315,"score_gpt":0.3233974932868716,"score_spread":0.2729913042214884,"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."}}