{"id":"W2766325998","doi":"10.1111/srt.12422","title":"A feature fusion system for basal cell carcinoma detection through data‐driven feature learning and patient profile","year":2017,"lang":"en","type":"article","venue":"Skin Research and Technology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Computer science; Autoencoder; Pattern recognition (psychology); Softmax function; Feature extraction; Feature (linguistics); Curse of dimensionality; Classifier (UML); Feature learning; Unsupervised learning; Visualization; Deep learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001051752,0.000647947,0.0009579112,0.001119201,0.0003184006,0.0004872002,0.0008839373,0.0006906465,0.001381188],"category_scores_gemma":[0.001482156,0.0002729097,0.0009245133,0.0005453988,0.0001802587,0.000639306,0.0008852076,0.0008919431,0.0007378627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005385582,"about_ca_system_score_gemma":0.0006432548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00252505,"about_ca_topic_score_gemma":0.002233303,"domain_scores_codex":[0.9994977,0.00006883525,0.00003555962,0.0001667554,0.0001589604,0.00007228913],"domain_scores_gemma":[0.9995189,0.0001350817,0.00006040296,0.00006290469,0.0001850004,0.00003774431],"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":[0.0007102405,0.0005144565,0.007530877,0.000089641,0.0001595922,0.0002707251,0.0001209797,0.04108487,0.05375994,0.0008948183,0.004609866,0.890254],"study_design_scores_gemma":[0.00003320185,0.0003013554,0.006633335,0.0000134464,0.00008118168,0.0003071983,0.00002934667,0.9603868,0.02883674,0.001499104,0.0018377,0.00004055758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07680877,0.000432619,0.916056,0.000231523,0.00007801946,0.0001158004,0.0005652949,0.005005587,0.0007062662],"genre_scores_gemma":[0.7670411,0.0002302344,0.22882,0.000208108,0.00007023676,0.0002796663,0.001664641,0.0000999934,0.001586073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00252505,"threshold_uncertainty_score":0.005562246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330946649350976,"score_gpt":0.3251755122335578,"score_spread":0.2920808472984602,"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."}}