{"id":"W7066489783","doi":"","title":"Influence of training dataset selection on the performance of a machine learning model","year":2021,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Nail Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Selection (genetic algorithm); Convolutional neural network; Canola; Object (grammar); Artificial neural network; Set (abstract data type)","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":[0.01285428,0.002224308,0.001477003,0.00124933,0.001225894,0.002664111,0.001413175,0.002063619,0.001259777],"category_scores_gemma":[0.04077333,0.0004329743,0.001127055,0.001083504,0.001053706,0.002332221,0.001453475,0.001975146,0.0007313288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212574,"about_ca_system_score_gemma":0.001593258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250942,"about_ca_topic_score_gemma":0.006292487,"domain_scores_codex":[0.9942088,0.002373306,0.0007510344,0.001193786,0.0009504885,0.0005225461],"domain_scores_gemma":[0.9713494,0.02039079,0.001039023,0.002801307,0.003632593,0.0007869974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005145176,0.001711987,0.09286354,0.0009819313,0.001213753,0.000849546,0.0004047797,0.5606179,0.01370848,0.001358513,0.01543375,0.3057106],"study_design_scores_gemma":[0.0001784794,0.001317784,0.02112116,0.0002565253,0.0003073865,0.0003522534,0.000456097,0.9472386,0.02407407,0.001081138,0.00352378,0.00009275964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321219,0.005920351,0.04666125,0.001995184,0.001195191,0.0004110791,0.002077836,0.002996278,0.006620913],"genre_scores_gemma":[0.9717733,0.000687474,0.01955234,0.0005015792,0.00009788643,0.0001735243,0.005507034,0.0003135899,0.001393431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01285428,"threshold_uncertainty_score":0.06798071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108852228963044,"score_gpt":0.1946361815200037,"score_spread":0.1837509586236993,"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."}}