{"id":"W2970637111","doi":"10.32470/ccn.2019.1187-0","title":"An overview of functional alignment in artificial and biological neural networks: Current recommendations and open questions","year":2019,"lang":"en","type":"article","venue":"2019 Conference on Cognitive Computational Neuroscience","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Current (fluid); Computer science; Artificial neural network; Artificial intelligence; Machine learning; Engineering; Electrical engineering","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":[0.01018985,0.001322399,0.0022157,0.003872603,0.0008475189,0.004764683,0.003388125,0.002982099,0.005984498],"category_scores_gemma":[0.01840447,0.0008100473,0.001263873,0.005168094,0.002023272,0.01117521,0.00208952,0.003963627,0.003007663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213703,"about_ca_system_score_gemma":0.00400985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002757665,"about_ca_topic_score_gemma":0.003677235,"domain_scores_codex":[0.9976046,0.0007338136,0.0004175339,0.0004619308,0.0005914374,0.000190643],"domain_scores_gemma":[0.9890931,0.006785147,0.0006502206,0.000629945,0.002383969,0.000457534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002693231,0.0001000247,0.001552228,0.009152346,0.0002320637,0.0001143792,0.00016889,0.002753975,0.001920773,0.08164137,0.03977341,0.8623213],"study_design_scores_gemma":[0.00007581884,0.0003371862,0.002772608,0.01019038,0.0004671415,0.0008194333,0.0003586554,0.01673818,0.003683048,0.2373241,0.7270736,0.0001599373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00193223,0.8995313,0.06584974,0.02138779,0.003550608,0.0000593671,0.0003845591,0.0006136245,0.006690699],"genre_scores_gemma":[0.02883501,0.8047858,0.1472506,0.006599909,0.006807676,0.0002625278,0.00178404,0.0003502904,0.003324173],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01018985,"threshold_uncertainty_score":0.05388969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223743743487374,"score_gpt":0.3921920490278917,"score_spread":0.2698176746791542,"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."}}