{"id":"W2091841363","doi":"10.1002/ijc.11558","title":"Dissecting karyotypic patterns in malignant melanomas: Temporal clustering of losses and gains in melanoma karyotypic evolution","year":2003,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Vancouver General Hospital; University of British Columbia","funders":"Cancerfonden","keywords":"Karyotype; Melanoma; Biology; Chromosome; Cytogenetics; Somatic evolution in cancer; Genetics; Pathology; Cancer; Medicine; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0002806196,0.00009990542,0.000245909,0.0005082299,0.00001294531,0.00001527465,0.00008257076,0.00004591634,0.0001655342],"category_scores_gemma":[0.0001108698,0.00008795574,0.00006268953,0.0001223834,0.00002487962,0.0001191226,0.00002980375,0.0001725708,9.354773e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003783448,"about_ca_system_score_gemma":0.00008972143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005819382,"about_ca_topic_score_gemma":0.003424956,"domain_scores_codex":[0.998834,0.000041284,0.0005572517,0.0001205453,0.0003190439,0.0001278474],"domain_scores_gemma":[0.9993243,0.00004348761,0.000305523,0.00006592717,0.0002043686,0.00005643959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004781897,0.0001166374,0.9909841,0.00006320549,0.0001323789,0.0004832438,0.0003053516,0.0007626661,0.002680229,0.0003770886,0.00001796651,0.003598965],"study_design_scores_gemma":[0.003142546,0.0003088872,0.987353,0.001302846,0.00005129404,0.001093227,0.001111225,0.001225599,0.002721934,0.000485938,0.001075128,0.0001284359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994794,0.001309503,0.001594601,0.0003326102,0.001003829,0.0001242695,0.000003917765,0.000004678386,0.0008326563],"genre_scores_gemma":[0.9989606,0.0003228613,0.0002333081,0.00007217744,0.0001556173,0.00000531854,0.000001485683,0.00001134567,0.0002372786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004166673,"threshold_uncertainty_score":0.3586731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017565311404535,"score_gpt":0.3063625729451853,"score_spread":0.2887972615406503,"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."}}