{"id":"W999329749","doi":"10.1007/3-540-35662-2_20","title":"Applications to Gynecological Cancers","year":2006,"lang":"en","type":"book-chapter","venue":"Medical radiology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Gynecology","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":[0.0003007362,0.0008798858,0.0004893848,0.001633651,0.0009774175,0.001829563,0.0007567039,0.001260928,0.05306247],"category_scores_gemma":[0.0006895527,0.0002794866,0.0004387314,0.001267984,0.0009497386,0.00155018,0.001393383,0.0022298,0.01671854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237098,"about_ca_system_score_gemma":0.001356231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212185,"about_ca_topic_score_gemma":0.009673642,"domain_scores_codex":[0.9998381,0.00003586625,0.000007020432,0.00001888217,0.00008299451,0.00001717902],"domain_scores_gemma":[0.9998189,0.00009318535,0.000008129922,0.00001470092,0.00004640091,0.00001879751],"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":[0.0000155552,0.00007916254,0.0001049177,0.0005954824,0.000005535701,0.0003266192,0.0006658407,0.000973675,0.0009779456,0.1749824,0.413761,0.4075118],"study_design_scores_gemma":[0.000001263229,0.00000562855,0.0000640819,0.0001512148,0.000001798931,0.0002584529,0.00004262937,0.00006259363,0.00009567408,0.01102915,0.9882849,0.000002507138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004900977,0.04955085,0.004167833,0.002550195,0.002657328,0.00005298029,0.00008233773,0.0001182574,0.9403301],"genre_scores_gemma":[0.003437454,0.04161341,0.00483171,0.002574603,0.001199685,0.00006693466,0.0001023646,0.000108637,0.9460652],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05306247,"threshold_uncertainty_score":0.1775116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597467938346416,"score_gpt":0.31226722435589,"score_spread":0.2862925449724258,"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."}}