{"id":"W4394998205","doi":"10.2196/56684","title":"A Survey of Demographics and Treatments in Melanoma Case Reports: Retrospective Bibliometric Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Melanoma; Retrospective cohort study; Survey data collection; Medicine; Bibliometrics; Demography; Family medicine; Statistics; Computer science; Library science; Internal medicine; Mathematics; Sociology; Cancer research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0002157405,0.00011764,0.0004985703,0.05239752,0.00002367791,0.00001673506,0.00001781455,0.0001134885,0.00006369214],"category_scores_gemma":[0.0001078177,0.0001013868,0.0001004103,0.08021495,0.00007277128,0.00003804213,0.00003721099,0.0001283494,0.00000348768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006453755,"about_ca_system_score_gemma":0.000031843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232036,"about_ca_topic_score_gemma":0.003071237,"domain_scores_codex":[0.9988698,0.0001015177,0.0004025297,0.0003278683,0.0001359019,0.0001624267],"domain_scores_gemma":[0.9993764,0.0001410639,0.00008497272,0.0002405637,0.00007992898,0.00007709768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004554751,0.0001151681,0.8651905,0.0001341023,0.001096931,0.130181,0.0001121476,8.806036e-7,0.00003500898,0.00005201381,0.000238898,0.00279779],"study_design_scores_gemma":[0.0003504491,0.0001539936,0.8845885,0.00001988215,0.0005948965,0.1124064,0.00006840265,0.001229275,0.00006263675,0.00003846149,0.0004168525,0.00007024243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959772,0.002402818,0.0001100623,0.0001591774,0.0001145478,0.0003780502,0.00001480536,0.00005573251,0.0007875753],"genre_scores_gemma":[0.999297,0.0003023282,0.00006068486,0.00004285445,0.000006327532,0.00004483763,0.0000283817,0.0000113624,0.0002062287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02781744,"threshold_uncertainty_score":0.9583427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063966232789008,"score_gpt":0.3147093982007417,"score_spread":0.2940697358728516,"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."}}