{"id":"W4396851125","doi":"10.1016/j.prosdent.2024.03.016","title":"The future of maxillofacial prosthodontics in North America: The role of advanced digital technology and artificial intelligence – A discussion document","year":2024,"lang":"en","type":"article","venue":"Journal of Prosthetic Dentistry","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Agence des Aires Marines Protégées","keywords":"Prosthodontics; Engineering; Medicine; Dentistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002962089,0.0001179514,0.0003042014,0.0001952014,0.00003549608,0.00007483295,0.0001983842,0.00005282706,0.000004448229],"category_scores_gemma":[0.0002419742,0.00005047598,0.00008496556,0.0006055089,0.0006695242,0.0001763271,0.0000967755,0.0004285568,0.000001794929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003961325,"about_ca_system_score_gemma":0.0001073406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.025099e-7,"about_ca_topic_score_gemma":0.000004434993,"domain_scores_codex":[0.998566,0.00001978769,0.0006966337,0.0001251747,0.0004268539,0.0001655471],"domain_scores_gemma":[0.9992295,0.00005326201,0.0003131541,0.0001984067,0.0001525236,0.00005317086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002360397,0.0001111763,0.01429707,0.0001283175,0.00004137986,0.0002330824,0.0007401952,0.0000096699,0.002896949,0.001049669,0.00001635343,0.9802401],"study_design_scores_gemma":[0.003471357,0.01028825,0.1048236,0.01211529,0.001343456,0.03713767,0.1540474,0.002412654,0.09741178,0.2274521,0.3484216,0.001074932],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814038,0.009288552,0.0005661414,0.007594243,0.0006249791,0.0003398218,0.00001026121,0.00001025723,0.0001618947],"genre_scores_gemma":[0.9986237,0.0004512225,0.000603544,0.00001738362,0.00008745919,0.000005436373,0.000001901826,0.00001335009,0.0001959955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9791651,"threshold_uncertainty_score":0.246689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005841083949828492,"score_gpt":0.2771579406867182,"score_spread":0.2713168567368897,"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."}}