{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005733724,0.0002707005,0.0005251815,0.0001460852,0.00033313,0.00002316866,0.0002160068,0.0002776495,0.004569927],"category_scores_gemma":[0.00003164781,0.0002421765,0.0001713312,0.000199142,0.00009692877,0.0001588921,0.00006678898,0.0002584381,0.0002190926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005006849,"about_ca_system_score_gemma":0.00017598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002465371,"about_ca_topic_score_gemma":0.001383323,"domain_scores_codex":[0.9977856,0.0001715835,0.0005136183,0.0005005275,0.0001960288,0.0008326945],"domain_scores_gemma":[0.9990501,0.0001360218,0.0001973838,0.0002993654,0.0001116176,0.0002055138],"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":[0.002091569,0.002089592,0.1465192,0.00009788871,0.0003553769,0.001732837,0.0003268474,0.00002429329,0.002611663,0.005949406,0.3869557,0.4512456],"study_design_scores_gemma":[0.01000435,0.005152081,0.1809847,0.00003585366,0.0003343342,0.0001558345,0.0002784693,0.000172781,0.005076559,0.002123366,0.795189,0.0004926797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8676581,0.002002069,0.034416,0.07308272,0.006341673,0.005498421,0.003376354,0.0006395534,0.006985108],"genre_scores_gemma":[0.8961279,0.00005027175,0.09445444,0.005001906,0.0003638622,0.0004734957,0.0004602752,0.00002866691,0.003039214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4507529,"threshold_uncertainty_score":0.99634,"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."}}