{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000323295,0.0001151895,0.0002076889,0.00003697607,0.0001053406,0.00001905885,0.00008610077,0.00008552489,0.0001769174],"category_scores_gemma":[0.001045272,0.00009827799,0.00004291501,0.0001342646,0.00004513645,0.0001712903,0.00002798936,0.0002985784,0.000221079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001367306,"about_ca_system_score_gemma":0.000009463488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002093654,"about_ca_topic_score_gemma":0.000006925813,"domain_scores_codex":[0.99898,0.0001411888,0.0002558739,0.0003844643,0.00008912504,0.0001492851],"domain_scores_gemma":[0.9990749,0.0005514888,0.0001613671,0.0001237682,0.00001806309,0.00007041536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006462249,0.00004037543,0.004700336,0.005218886,0.00001428946,6.96561e-7,0.0005140693,0.00000222424,0.2943766,0.00257088,0.004064733,0.6884323],"study_design_scores_gemma":[0.001980781,0.0004952716,0.008486134,0.004106405,0.0001990918,0.0003487209,0.00005652587,0.00622974,0.02397239,0.003729866,0.9495301,0.0008650131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519365,0.1051251,0.0004454383,0.02678774,0.000597246,0.006211646,0.00002126834,0.0002345227,0.008640495],"genre_scores_gemma":[0.7986052,0.1857782,0.00004372487,0.006454231,0.0000542226,0.0001036964,0.00002524617,0.00002836025,0.008907077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9454653,"threshold_uncertainty_score":0.400766,"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."}}