{"id":"W2093867077","doi":"10.1016/j.oos.2009.06.275","title":"O190. Image cytometry for oral cancer screening","year":2009,"lang":"en","type":"article","venue":"Oral Oncology Supplement","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Cancer; Cytometry; Dermatology; Flow cytometry; Internal medicine; Immunology","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":[0.001166829,0.0008980352,0.0004619496,0.002614025,0.0008659653,0.001346425,0.000853129,0.001880103,0.1516083],"category_scores_gemma":[0.00100909,0.0006142983,0.0005222582,0.0009462404,0.0004591485,0.0008848648,0.0007337679,0.001529621,0.03741868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005098918,"about_ca_system_score_gemma":0.0008662966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001527069,"about_ca_topic_score_gemma":0.003698035,"domain_scores_codex":[0.9995314,0.00008890353,0.00002983834,0.00007402985,0.0001882041,0.00008770385],"domain_scores_gemma":[0.9995814,0.0001169051,0.00003348918,0.00005737703,0.0001172083,0.00009359566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001760164,0.0006709673,0.002731015,0.0008918992,0.00006622816,0.0007011578,0.00008566491,0.0002009664,0.2668349,0.005830349,0.1954616,0.5247651],"study_design_scores_gemma":[0.0006545688,0.001353181,0.02067022,0.0002723239,0.0001745558,0.00750073,0.0001027174,0.005122332,0.2105404,0.004270597,0.7492388,0.00009947889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09229934,0.0332052,0.102295,0.0175677,0.003909141,0.001821703,0.005879074,0.01497677,0.7280461],"genre_scores_gemma":[0.2408296,0.0322583,0.1955393,0.006295971,0.002411891,0.001364072,0.01104131,0.002447271,0.5078124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1516083,"threshold_uncertainty_score":0.5071803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06962412405301424,"score_gpt":0.4569974647383693,"score_spread":0.387373340685355,"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."}}