{"id":"W4414359291","doi":"10.24963/ijcai.2025/1036","title":"AI4TRT: Automatic Simulation of Teeth Restoration Treatment","year":2025,"lang":"en","type":"article","venue":"","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Leverage (statistics); Visualization; Optical flow; Modalities; Point (geometry); Process (computing)","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":[0.0005011086,0.0007227637,0.0004988237,0.0005724243,0.0003648121,0.0009855392,0.001723379,0.001070078,0.01623263],"category_scores_gemma":[0.00149721,0.0004821768,0.0009919665,0.0002354645,0.0004459169,0.0004435063,0.0009436017,0.0006793254,0.001672563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005989613,"about_ca_system_score_gemma":0.001285184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004600598,"about_ca_topic_score_gemma":0.005456717,"domain_scores_codex":[0.9997009,0.00004266028,0.00001897839,0.00004835961,0.0001551724,0.00003398898],"domain_scores_gemma":[0.999725,0.0001239646,0.00002722305,0.00004173535,0.00005561697,0.00002638881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004308269,0.0002192185,0.002835261,0.0004486214,0.00007568754,0.0004254654,0.0003723085,0.7595184,0.03834094,0.0102892,0.0199099,0.1671342],"study_design_scores_gemma":[0.00002229146,0.00003308025,0.0002224166,0.0000128354,0.000008001794,0.00008176679,0.00001555331,0.9850909,0.005849073,0.001148939,0.007499709,0.00001551794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03393057,0.0002378993,0.9242836,0.0002252582,0.0002116002,0.0002785438,0.001009125,0.02938301,0.01044037],"genre_scores_gemma":[0.4772599,0.0003923208,0.5071626,0.0002078966,0.00005282968,0.0005515165,0.001692322,0.003317484,0.009363108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01623263,"threshold_uncertainty_score":0.05430359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190995586699855,"score_gpt":0.3104907486648971,"score_spread":0.2785807927978985,"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."}}