{"id":"W1964219192","doi":"10.1196/annals.1384.039","title":"Visualization and Other Emerging Technologies as Change Makers for Oral Cancer Prevention","year":2007,"lang":"en","type":"review","venue":"Annals of the New York Academy of Sciences","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Centre for Applied Research in Cancer Control; Simon Fraser University; BC Cancer Agency","funders":"National Institute of Dental and Craniofacial Research","keywords":"Triage; Computer science; Visualization; Best practice; Risk analysis (engineering); Medicine; Bioinformatics; Medical physics; Pathology; Intensive care medicine; Medical emergency; Artificial intelligence; Biology","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":[0.001008951,0.00017938,0.0005950484,0.0001967817,0.0002025724,0.00001032889,0.0004173956,0.0004207827,0.00001718873],"category_scores_gemma":[0.00007218345,0.000108707,0.0002058488,0.0005611386,0.0005395593,0.0001059409,0.00009996295,0.0001506084,0.000003903779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001403237,"about_ca_system_score_gemma":0.00009921239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001655656,"about_ca_topic_score_gemma":0.00003816776,"domain_scores_codex":[0.9986318,0.00009432695,0.0004698312,0.0003007531,0.0002415649,0.0002616771],"domain_scores_gemma":[0.9988554,0.0001243167,0.0008878408,0.00007882388,0.00002308801,0.00003056197],"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":[0.000009928368,0.00002323308,0.0003673751,0.002725258,0.00004897868,1.596616e-7,0.00009586682,4.167401e-7,6.378195e-7,0.004091481,0.001577693,0.9910589],"study_design_scores_gemma":[0.000164432,0.0001847751,0.000257195,0.008553239,0.0002814279,0.00001511119,0.0001890417,0.000006023793,0.0006430798,0.009387271,0.9801661,0.0001522551],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001021794,0.9963409,0.00001673996,0.001203448,0.0002248488,0.00103415,0.00004686895,0.00003036888,0.00008087223],"genre_scores_gemma":[0.00130565,0.9969811,0.0002555797,0.0003221549,0.00008424536,0.00009585575,0.000001732021,0.00001234979,0.0009412855],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9909067,"threshold_uncertainty_score":0.4432945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4475887857012371,"score_gpt":0.5546139398761035,"score_spread":0.1070251541748665,"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."}}