{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002073766,0.0002810398,0.0007695085,0.02668964,0.0007518633,0.001281246,0.0006480702,0.0004082517,0.003940137],"category_scores_gemma":[0.01362786,0.0003448451,0.001056821,0.0286911,0.0005576509,0.001358486,0.0009229862,0.0003331657,0.001031955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008888867,"about_ca_system_score_gemma":0.0013995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004097697,"about_ca_topic_score_gemma":0.00559866,"domain_scores_codex":[0.9957696,0.000573193,0.001959196,0.0005172695,0.0009850732,0.0001957029],"domain_scores_gemma":[0.9783377,0.007497688,0.009484453,0.001021408,0.003083994,0.000574789],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001232999,0.00005623771,0.967534,0.002132148,0.0003456439,0.0006190477,0.0005292376,0.00007215923,0.000584293,0.0001426155,0.00182672,0.02603451],"study_design_scores_gemma":[0.000006406427,0.00006335857,0.9849868,0.0006720491,0.0004923358,0.004859113,0.001659359,0.0001223658,0.0003546684,0.00008589675,0.006677828,0.00001970028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011436,0.07011714,0.0006546574,0.0004187316,0.00005588293,0.0001782755,0.02065334,0.00009892236,0.006679464],"genre_scores_gemma":[0.9525164,0.03472936,0.001145107,0.0001455572,0.00008977996,0.0001807911,0.0105009,0.00003951348,0.0006525962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9979262,"threshold_uncertainty_score":0.01318109,"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."}}