{"id":"W2139215385","doi":"10.1109/isic.1990.128502","title":"Artificial neural networks in visual perception","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Artificial neural network; Artificial intelligence; Computer science; Perception; Object (grammar); Cognitive neuroscience of visual object recognition; Pattern recognition (psychology); Psychology","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":[0.0005131444,0.000583752,0.0005664458,0.0006999252,0.0002726148,0.002066077,0.0009174494,0.001845095,0.003879207],"category_scores_gemma":[0.001444263,0.0002775606,0.0003671465,0.001168789,0.001352759,0.002245565,0.0006725159,0.001791468,0.00106807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009996974,"about_ca_system_score_gemma":0.0005358645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003164056,"about_ca_topic_score_gemma":0.001925511,"domain_scores_codex":[0.9996878,0.00008953991,0.00002133915,0.00007156439,0.0001074244,0.00002238327],"domain_scores_gemma":[0.9997466,0.0001249343,0.00002036178,0.00002460854,0.0000681879,0.00001532097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005400605,0.00003434438,0.0004956857,0.000668499,0.00009757172,0.0001993005,0.0001955838,0.08747878,0.003536732,0.6372694,0.01609113,0.2538791],"study_design_scores_gemma":[0.00001356859,0.00002160762,0.0006217461,0.0002037299,0.0000171784,0.0001181444,0.00006179075,0.1477544,0.001095467,0.7979217,0.0521371,0.00003360812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01128764,0.1964973,0.6891989,0.01072936,0.002032529,0.00007653255,0.0004576438,0.001126015,0.08859406],"genre_scores_gemma":[0.533429,0.1412045,0.2609552,0.002373093,0.002775508,0.0003457501,0.0008917518,0.0002821424,0.05774316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003879207,"threshold_uncertainty_score":0.0129773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781249620583745,"score_gpt":0.2608149881887067,"score_spread":0.2330024919828692,"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."}}