{"id":"W1929119683","doi":"10.1109/icip.1999.821683","title":"Backpropagation algorithm for multiresolution image classification","year":2003,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Backpropagation; Artificial neural network; Computer science; Artificial intelligence; Image (mathematics); Contextual image classification; Pattern recognition (psychology); Algorithm; Multiresolution analysis; Wavelet transform; Wavelet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009061499,0.001121018,0.0008903692,0.0009703102,0.0003763088,0.0008374123,0.001522006,0.001395291,0.003118907],"category_scores_gemma":[0.002355151,0.0003999168,0.0006200381,0.001367945,0.0004714275,0.001454348,0.0006501898,0.00189511,0.002326196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005319377,"about_ca_system_score_gemma":0.0007177065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002970451,"about_ca_topic_score_gemma":0.002545305,"domain_scores_codex":[0.9992811,0.000103886,0.00004875292,0.0001110924,0.0004087568,0.0000464458],"domain_scores_gemma":[0.9995115,0.0001598991,0.00004945458,0.00007648084,0.0001851157,0.00001758174],"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":[0.00008187284,0.00007365349,0.000440069,0.0002474882,0.0001096487,0.0001527263,0.00005204829,0.1344873,0.01214903,0.01567269,0.00963311,0.8269004],"study_design_scores_gemma":[0.00002028408,0.00004145299,0.0005156565,0.0000337204,0.0000261646,0.0001839522,0.00001086251,0.9542227,0.009213745,0.01210103,0.02360421,0.00002618492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001575514,0.0009730627,0.9947705,0.0001522552,0.00009560127,0.00003949695,0.00005451037,0.0009424697,0.001396544],"genre_scores_gemma":[0.06868067,0.002595328,0.9190772,0.0002026117,0.0002031333,0.0002333944,0.0004445954,0.0002067395,0.008356318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003118907,"threshold_uncertainty_score":0.01043379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049040811671585,"score_gpt":0.2661477257602805,"score_spread":0.2456573176435646,"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."}}