{"id":"W3196525672","doi":"10.17762/de.vi.3967","title":"Feature Extraction of Melanoma Data using Machine Learning Techniques","year":2021,"lang":"en","type":"article","venue":"Design Engineering","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Pattern recognition (psychology); Melanoma; Feature extraction; Image segmentation; Segmentation; Binary image; Kernel (algebra); Feature (linguistics); Skin cancer; Image processing; Image (mathematics); Mathematics; Cancer; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0003867523,0.0006614247,0.000820011,0.002551142,0.0003145174,0.0007128239,0.000500354,0.0005143473,0.002095662],"category_scores_gemma":[0.001501071,0.0001865458,0.001000382,0.001359574,0.0001622423,0.0005050636,0.0003751136,0.0005951058,0.001264532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003454458,"about_ca_system_score_gemma":0.0004670733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361844,"about_ca_topic_score_gemma":0.002039862,"domain_scores_codex":[0.9996197,0.00002639557,0.00005627742,0.00007908229,0.0001565117,0.00006206062],"domain_scores_gemma":[0.9994654,0.0001138867,0.00006539044,0.00005647781,0.0002770143,0.00002185911],"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":[0.0004172159,0.0004260548,0.01653148,0.0003571808,0.00009759259,0.0009153071,0.0001035918,0.0282362,0.07163245,0.0008509612,0.006887933,0.873544],"study_design_scores_gemma":[0.0000633026,0.0006325284,0.05934918,0.0001339494,0.0001541491,0.002015193,0.000312488,0.8320845,0.08367012,0.00314413,0.01834502,0.000095451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.253653,0.002054251,0.725292,0.0005587298,0.0004390929,0.0006374766,0.004868112,0.006263164,0.006234243],"genre_scores_gemma":[0.7497805,0.0009448857,0.2357913,0.0001217882,0.0001434412,0.0004794523,0.007866485,0.0001206007,0.00475161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002551142,"threshold_uncertainty_score":0.007010698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04438226549041522,"score_gpt":0.2815732040621531,"score_spread":0.2371909385717379,"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."}}