{"id":"W2583892443","doi":"10.3233/cbm-2007-3109","title":"Session V: Lung","year":2006,"lang":"de","type":"article","venue":"Cancer Biomarkers","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Session (web analytics); Medicine; Computer science; World Wide Web","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002664275,0.0003306479,0.0003926722,0.0001769637,0.0001560262,0.00004574145,0.0001537431,0.0002962945,0.003873573],"category_scores_gemma":[0.00001770304,0.0002912153,0.0002128785,0.0003819299,0.0001256992,0.0001090584,0.00005698097,0.0001932843,0.0005085816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660086,"about_ca_system_score_gemma":0.0006090683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005367308,"about_ca_topic_score_gemma":0.00003131078,"domain_scores_codex":[0.9979278,0.00006154391,0.0004485536,0.0005183204,0.0004179734,0.0006257381],"domain_scores_gemma":[0.9989324,0.00002877499,0.0001859849,0.0004490853,0.0001065777,0.0002971306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006909517,0.0001953963,0.1537944,0.0006255925,0.0008491282,0.0005146754,0.0001189472,0.000006722329,0.08324561,0.0003993102,0.6805988,0.0789604],"study_design_scores_gemma":[0.002490159,0.0001505919,0.02214887,0.0008042761,0.001050296,0.000004541771,0.0001992924,0.0005982594,0.04953326,0.0001062596,0.9224687,0.0004454702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4292953,0.4880857,0.001521671,0.003740941,0.02696176,0.001824551,0.000236177,0.0003598656,0.04797398],"genre_scores_gemma":[0.9590452,0.004160214,0.0005098043,0.002616108,0.008613549,0.0001558525,0.0003277913,0.0001685745,0.02440291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5297499,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140548152716039,"score_gpt":0.292296712401096,"score_spread":0.2782418971294921,"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."}}