{"id":"W4407166595","doi":"10.20944/preprints202502.0305.v1","title":"Merkel Cell Carcinoma of the Skin: Deducing the Pattern of Spread from an International Aggregated Database of 303 Patients","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Polyomavirus and related diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Saskatchewan Cancer Agency","keywords":"Merkel cell carcinoma; Database; Carcinoma; Computer science; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002472676,0.0002902458,0.0005399562,0.0001390398,0.00004900544,0.000005039716,0.0011224,0.0002459269,0.0005639671],"category_scores_gemma":[0.000270758,0.0001832392,0.0003717419,0.00015076,0.0002369081,0.00006591082,0.002325874,0.0006500093,0.00001711664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007020515,"about_ca_system_score_gemma":0.0004235957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128391,"about_ca_topic_score_gemma":0.00005031305,"domain_scores_codex":[0.9975807,0.0002159877,0.0008447433,0.000605149,0.0005613375,0.0001920766],"domain_scores_gemma":[0.9961373,0.0001443128,0.001000481,0.002210958,0.0004118585,0.0000951226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002104344,0.001186382,0.9836113,0.0004775998,0.0004536142,0.000003392962,0.001354019,0.000160482,0.01058848,0.000007353015,0.00004599934,0.001900918],"study_design_scores_gemma":[0.0009761654,0.00001964917,0.6843491,0.001399897,0.0005223599,5.887093e-7,0.0001190873,0.0002829184,0.3121071,0.00004580056,0.00007518403,0.0001022508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916295,0.0005898511,0.00002261549,0.0001612506,0.001086136,0.0007988606,0.002712628,0.00001914717,0.002980058],"genre_scores_gemma":[0.9983274,0.0001819746,0.00003361524,0.0001068196,0.00007577229,0.00003062341,0.0008432213,0.0000240838,0.00037644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3015186,"threshold_uncertainty_score":0.9937345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05593512326985525,"score_gpt":0.3318644080834113,"score_spread":0.2759292848135561,"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."}}