{"id":"W7100563148","doi":"","title":"CANCER CARCINOÏDE","year":2014,"lang":"en","type":"article","venue":"","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Work (physics); Selection (genetic algorithm)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002838888,0.00004891403,0.0001195678,0.00006981398,0.00003637325,0.000004497453,0.00006269744,0.00002578993,0.002009773],"category_scores_gemma":[0.000156668,0.00002940722,0.00002706699,0.0001653905,0.00009848389,0.00002616819,0.00001813715,0.00008919698,0.0001428044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002960728,"about_ca_system_score_gemma":0.000105069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008998108,"about_ca_topic_score_gemma":0.0001116433,"domain_scores_codex":[0.999208,0.0000117414,0.00007489311,0.0001405846,0.0003402448,0.0002245092],"domain_scores_gemma":[0.9994399,0.00003365166,0.000009702888,0.0001897249,0.00007671613,0.0002502938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001131833,0.000126136,0.5054003,0.000128998,0.00003249877,0.00003713284,0.0008485517,0.000002966265,0.06330861,0.007115969,0.141528,0.2813576],"study_design_scores_gemma":[0.002151185,0.000445451,0.4703902,0.00008480776,0.00004062398,0.000043236,0.0003553021,0.002354257,0.02221682,0.0001840427,0.5016187,0.0001152967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.640538,0.0003034286,0.0006983969,0.01068822,0.0002793302,0.0001511246,4.924047e-7,0.00006707267,0.347274],"genre_scores_gemma":[0.9467008,0.0001038814,0.0002712111,0.004345717,0.0004591706,0.00001125232,0.000001411024,0.000005310731,0.04810128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3600908,"threshold_uncertainty_score":0.9989025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917817018187115,"score_gpt":0.3826148785906797,"score_spread":0.3434367084088086,"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."}}