{"id":"W1530873961","doi":"10.1109/ijcnn.2005.1555869","title":"Ne rogene: inte rated sim lation of ene re lation, ne ral a ti ity and ne rode elopment","year":2006,"lang":"en","type":"article","venue":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","topic":"Axon Guidance and Neuronal Signaling","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Receptive field; Neuroscience; Computer science; Ocular dominance column; Artificial intelligence; Field (mathematics); Cognitive science; Psychology; Biology; Ocular dominance; Mathematics; Visual cortex","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":[0.0001223866,0.0002434059,0.0002370076,0.0001689544,0.000287163,0.0007167544,0.000384448,0.0004517609,0.004892358],"category_scores_gemma":[0.0006002022,0.000167116,0.0002031626,0.0002108378,0.0005957911,0.0006735288,0.0003512115,0.0004732287,0.0008324934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004916623,"about_ca_system_score_gemma":0.0004819397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001949222,"about_ca_topic_score_gemma":0.001684395,"domain_scores_codex":[0.9999261,0.000009389185,0.000002368472,0.0000241757,0.00002971507,0.000008220284],"domain_scores_gemma":[0.9999137,0.00002255373,0.0000152398,0.00001953598,0.00001331529,0.00001561092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003326642,0.0001130936,0.005821293,0.0001510743,0.00005158587,0.0004783239,0.0001906469,0.4778682,0.1534772,0.2944772,0.009456743,0.05758185],"study_design_scores_gemma":[0.00004645182,0.00007022697,0.001654024,0.00001534222,0.00002483136,0.0002539048,0.00003190554,0.8480965,0.04545095,0.05233264,0.0519923,0.00003083209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4568493,0.001222595,0.4693553,0.001526174,0.000441235,0.00005092427,0.001028141,0.003614255,0.065912],"genre_scores_gemma":[0.9294354,0.0006276497,0.04318107,0.000138513,0.00003446892,0.00007372561,0.0005984043,0.0002834137,0.02562742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004892358,"threshold_uncertainty_score":0.01636654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06339642766676581,"score_gpt":0.2811375199665153,"score_spread":0.2177410922997495,"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."}}