{"id":"W2472856960","doi":"","title":"[Tumoral urinary cytology: comparison with histologic lesions according to the 1998 ISUP/OMS classification].","year":2000,"lang":"en","type":"article","venue":"PubMed","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Cytology; Pathology; Medicine; Urinary system; Anatomy","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":[0.000872925,0.0002570535,0.0003921764,0.003544116,0.0001804945,0.0003551162,0.0005867013,0.0003154273,0.00803757],"category_scores_gemma":[0.00555717,0.00009433416,0.0004158348,0.003140552,0.0002305472,0.0004599254,0.0004352027,0.0002591291,0.001119488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001688301,"about_ca_system_score_gemma":0.0003914942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005322662,"about_ca_topic_score_gemma":0.007161867,"domain_scores_codex":[0.9996285,0.0001006049,0.00007432647,0.00003726298,0.0001128733,0.00004632704],"domain_scores_gemma":[0.9978983,0.0004862857,0.000919488,0.0001088741,0.0003964014,0.0001906509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002918663,0.00005808525,0.8506794,0.0007395408,0.0003633462,0.0007671707,0.0001068094,0.0001576193,0.000879228,0.0003561715,0.06303723,0.07993688],"study_design_scores_gemma":[0.00009896319,0.0002133116,0.9797288,0.0002630395,0.0002338897,0.003474251,0.0002317789,0.0002511693,0.0003221429,0.0002619175,0.01490525,0.00001550667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8012268,0.06608513,0.002912236,0.004962124,0.004768928,0.0005049619,0.07675935,0.0003816774,0.0423988],"genre_scores_gemma":[0.948734,0.009411644,0.003726944,0.001088192,0.00111112,0.0002136386,0.03010769,0.00008348937,0.00552335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00803757,"threshold_uncertainty_score":0.02688837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05849291548939121,"score_gpt":0.3220511866448926,"score_spread":0.2635582711555014,"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."}}