{"id":"W2898437329","doi":"10.1097/cmr.0000000000000528","title":"Population-based validation of the National Cancer Comprehensive Network recommendations for baseline imaging workup of cutaneous melanoma","year":2018,"lang":"en","type":"article","venue":"Melanoma Research","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Melanoma; Stage (stratigraphy); Lung cancer; Sentinel node; Asymptomatic; Metastasis; Brain metastasis; Radiology; Cancer; Oncology; Cohort; Bone metastasis; Internal medicine; Breast cancer; Cancer research","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":[0.0143853,0.0003464023,0.0004878932,0.001364077,0.000384862,0.0009270726,0.001016656,0.0007271988,0.0006934227],"category_scores_gemma":[0.03682091,0.0002982077,0.0006138962,0.0009918957,0.0003281882,0.0006727528,0.0006524246,0.000695301,0.000366625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007734987,"about_ca_system_score_gemma":0.0009131129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00620794,"about_ca_topic_score_gemma":0.008528652,"domain_scores_codex":[0.9906828,0.004926074,0.001035498,0.001567876,0.001519743,0.0002679694],"domain_scores_gemma":[0.9843194,0.004531298,0.004284826,0.002541486,0.003893001,0.0004300014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00014863,0.00008391791,0.9928637,0.00004646141,0.0001205595,0.00002460427,0.0001043237,0.0003088895,0.0002040848,0.00005512522,0.0007701027,0.005269545],"study_design_scores_gemma":[0.00001927864,0.0001760854,0.9965322,0.00004328195,0.00006918071,0.000177227,0.0001423753,0.001315825,0.0002014713,0.00004940215,0.001266641,0.000007101366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826429,0.001344615,0.004717983,0.0003056601,0.0001056434,0.0007682327,0.005853314,0.0000895929,0.004172046],"genre_scores_gemma":[0.9929027,0.000198573,0.002574414,0.0001132737,0.00002028479,0.0003204792,0.003611248,0.0000119985,0.0002470824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0143853,"threshold_uncertainty_score":0.07607764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09464199152856675,"score_gpt":0.4009216968910695,"score_spread":0.3062797053625028,"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."}}