{"id":"W4289784131","doi":"10.48550/arxiv.1506.09179","title":"Learning to Detect Blue-white Structures in Dermoscopy Images with Weak\\n Supervision","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial intelligence; Computer science; Scope (computer science); Feature (linguistics); Image (mathematics); Pattern recognition (psychology); Skin lesion; Identification (biology); Computer vision; Dermatology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033732,0.0008954838,0.001094055,0.0007690859,0.0003230257,0.001228994,0.002142508,0.001913769,0.001130334],"category_scores_gemma":[0.003883301,0.0004472897,0.0008472246,0.0004887948,0.0008939101,0.00134077,0.001431898,0.001687425,0.0006249713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005019222,"about_ca_system_score_gemma":0.0006554571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338691,"about_ca_topic_score_gemma":0.003428994,"domain_scores_codex":[0.9994302,0.000132562,0.00002865721,0.0002476564,0.00008995363,0.00007086074],"domain_scores_gemma":[0.9985175,0.0006532173,0.000302721,0.0002259892,0.0001865693,0.0001141653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007316865,0.0008152777,0.0257416,0.000482462,0.0002392856,0.0004758046,0.0003437904,0.2688377,0.04301682,0.00521489,0.008720609,0.64538],"study_design_scores_gemma":[0.00001226661,0.00007844469,0.001763629,0.00001277574,0.00002063598,0.00007939633,0.00002526035,0.9889048,0.004481418,0.004225357,0.0003888321,0.000007285229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1643499,0.0008111175,0.8287819,0.001262913,0.00006944312,0.0001276897,0.0004583762,0.002087176,0.002051344],"genre_scores_gemma":[0.8877291,0.0002658313,0.1084196,0.0003676402,0.0001645114,0.00007760385,0.000840069,0.00006863411,0.002066956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002338691,"threshold_uncertainty_score":0.005466998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03484511816548171,"score_gpt":0.2049402427033357,"score_spread":0.170095124537854,"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."}}