{"id":"W2978290780","doi":"10.29173/aar42","title":"Text Recognition and Machine Learning: For Impaired Robots and Humans","year":2019,"lang":"en","type":"article","venue":"Alberta Academic Review","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; MNIST database; Convolutional neural network; Computer science; Machine learning; Deep learning; Artificial neural network; Python (programming language); Alphabet; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003230666,0.001649536,0.001376663,0.002245215,0.001722544,0.009015456,0.002412397,0.007017707,0.03148891],"category_scores_gemma":[0.01522754,0.0004888193,0.0009281226,0.001917714,0.008097851,0.02517452,0.004735167,0.005145246,0.01661408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966336,"about_ca_system_score_gemma":0.001981877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003318847,"about_ca_topic_score_gemma":0.002288378,"domain_scores_codex":[0.9973519,0.0007111792,0.0001758196,0.0005380958,0.0009692765,0.0002538011],"domain_scores_gemma":[0.9928873,0.002665756,0.0005232933,0.001266019,0.00182026,0.0008373177],"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":[0.0001920358,0.000109419,0.001981492,0.0009962613,0.00006329113,0.0002838287,0.0007887451,0.00128038,0.002187852,0.06832087,0.266327,0.6574689],"study_design_scores_gemma":[0.00003246166,0.0001672317,0.003178568,0.001601765,0.00005232138,0.001373356,0.001949484,0.007848511,0.003649912,0.3048938,0.6751174,0.0001353347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01404551,0.2178648,0.1800663,0.46171,0.02069862,0.0002010887,0.001766639,0.008425918,0.09522101],"genre_scores_gemma":[0.2394633,0.1751147,0.2105791,0.07210112,0.02506982,0.0005592362,0.004492811,0.002821099,0.2697988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03148891,"threshold_uncertainty_score":0.105341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09723520473668451,"score_gpt":0.309386695072746,"score_spread":0.2121514903360615,"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."}}