{"id":"W6893671218","doi":"10.5281/zenodo.3806814","title":"Calyptommini W. M. Tattersall 1909","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telson; Seta; Genus; Tribe; Appendage; Margin (machine learning)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001124763,0.0007829418,0.0004172813,0.001641307,0.002384045,0.0005926201,0.0007050433,0.0007262802,0.02412901],"category_scores_gemma":[0.0004314386,0.0002912362,0.0001540916,0.001028738,0.0007303371,0.001010476,0.0007886254,0.0006873865,0.006452115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006872489,"about_ca_system_score_gemma":0.0005614619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01620384,"about_ca_topic_score_gemma":0.03507355,"domain_scores_codex":[0.9998242,0.00001403752,0.00001351573,0.00006094567,0.00006524185,0.0000221051],"domain_scores_gemma":[0.9998695,0.00001642985,0.00006211995,0.00001150857,0.00002541375,0.00001514163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002745939,0.00007338076,0.01432075,0.0008869865,0.00003305922,0.001067943,0.001992731,0.0002405232,0.007548277,0.005714538,0.07431459,0.8935326],"study_design_scores_gemma":[0.00004194563,0.0001041833,0.1045852,0.0004637838,0.00005775583,0.003481185,0.0005667955,0.0002792102,0.0009664108,0.001044895,0.8883933,0.00001540346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.201762,0.07240252,0.01084998,0.003115312,0.004129984,0.002071217,0.01148088,0.00141909,0.6927691],"genre_scores_gemma":[0.7954141,0.02553249,0.02622467,0.002685958,0.002202557,0.0006531223,0.006234386,0.0002197815,0.1408328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02412901,"threshold_uncertainty_score":0.08071953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04074145609881621,"score_gpt":0.247960081751631,"score_spread":0.2072186256528148,"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."}}