{"id":"W2945873313","doi":"10.1007/978-3-030-18305-9_28","title":"A Shallow Learning - Reduced Data Approach for Image Classification","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Benchmark (surveying); Interpolation (computer graphics); Image (mathematics); Artificial intelligence; Artificial neural network; Feature (linguistics); Process (computing); Deep learning; Pattern recognition (psychology); Contextual image classification; Image scaling; Machine learning; Image processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003557974,0.0002530512,0.0002709992,0.0001550388,0.0001667976,0.0002053863,0.001066338,0.0001163881,0.00006140058],"category_scores_gemma":[0.00001146623,0.0002289979,0.00007711392,0.0001210262,0.0001984513,0.0002836897,0.0003737145,0.0005980858,0.00001502201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004545433,"about_ca_system_score_gemma":0.0002150126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007312864,"about_ca_topic_score_gemma":8.950664e-7,"domain_scores_codex":[0.9981044,0.00001604989,0.0002452148,0.001068658,0.000264779,0.0003009031],"domain_scores_gemma":[0.9986485,0.0001220227,0.0002003867,0.0008662902,0.00009678311,0.00006604139],"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":[0.0000189683,0.00004023027,0.00007374074,0.00004476239,0.00002164834,6.17551e-7,0.0001526818,0.09357788,0.001549426,0.01450834,0.0002523949,0.8897593],"study_design_scores_gemma":[0.0001720707,0.00003624467,0.00001997888,0.00005716494,0.00001136059,0.000002244939,6.419037e-7,0.9866297,0.0001704732,0.009157244,0.003476999,0.0002658753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00008987351,0.000041573,0.9852501,0.0001867901,0.000582081,0.0004988092,0.00002248208,0.00003456115,0.01329369],"genre_scores_gemma":[0.6368219,0.00001221169,0.3533829,0.0002091394,0.00273443,0.00002754266,0.001106205,0.00007252496,0.0056331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8930518,"threshold_uncertainty_score":0.9338265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06030036238334063,"score_gpt":0.2895471271159668,"score_spread":0.2292467647326261,"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."}}