{"id":"W4401025103","doi":"10.24963/ijcai.2024/1036","title":"AI4TRT: Automatic Simulation of Teeth Restoration Treatment","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Upsampling; Computer science; Security token; Resolution (logic); Artificial intelligence; Image (mathematics); Computer network","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":[0.0004917439,0.000716945,0.0004880197,0.0005557455,0.0003626772,0.0009597354,0.001756487,0.00103123,0.01676382],"category_scores_gemma":[0.001501644,0.0004860413,0.001000705,0.0002236231,0.0004345066,0.0004343619,0.0009293809,0.0006941936,0.001702069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006359093,"about_ca_system_score_gemma":0.001312769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00470397,"about_ca_topic_score_gemma":0.005634458,"domain_scores_codex":[0.9997051,0.00004192852,0.00001779574,0.00004723984,0.000153708,0.0000341681],"domain_scores_gemma":[0.9997332,0.0001199779,0.00002682876,0.00004089605,0.00005168085,0.00002741388],"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":[0.00049267,0.0002353619,0.002945625,0.0004337634,0.0000826839,0.0004686712,0.000378223,0.7355244,0.04217511,0.01065519,0.02365666,0.1829517],"study_design_scores_gemma":[0.00002522253,0.00003408413,0.0002288188,0.00001183001,0.000007937046,0.00009070621,0.00001430712,0.9848322,0.006296629,0.001117557,0.007324544,0.00001613079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03607078,0.0002268684,0.91811,0.0002378674,0.0002092295,0.0002926668,0.001036481,0.033395,0.01042107],"genre_scores_gemma":[0.4766494,0.0003491604,0.5074602,0.0002136181,0.00005288276,0.0005333694,0.001644465,0.003748673,0.009348264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01676382,"threshold_uncertainty_score":0.05608052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782598641797444,"score_gpt":0.3471188156659277,"score_spread":0.3192928292479533,"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."}}