{"id":"W4394933962","doi":"10.1101/2024.04.16.589741","title":"Connectome-driven neural inventory of a complete visual system","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Wellcome Trust","keywords":"Connectome; Computer science; Neural system; Neuroscience; Artificial intelligence; Psychology; Functional connectivity","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002549658,0.0006582433,0.0008775844,0.0003723131,0.00008693201,0.00009429419,0.0005196667,0.0003822357,0.00001183363],"category_scores_gemma":[0.00004957348,0.000732835,0.0002702241,0.0004865327,0.0001072161,0.00009757397,0.0007416162,0.001285836,0.00007888949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003445286,"about_ca_system_score_gemma":0.0001239308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007641739,"about_ca_topic_score_gemma":8.02099e-7,"domain_scores_codex":[0.9974487,0.0001012434,0.0007784669,0.0007412455,0.0003493436,0.0005810233],"domain_scores_gemma":[0.9984582,0.0000947773,0.0002349335,0.0007714542,0.0001975649,0.0002430644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001866605,0.00002990945,0.00035042,0.007736547,0.0002570536,0.0002080727,0.00002075933,0.0459054,0.9442712,0.001059486,0.0001391766,0.000003290453],"study_design_scores_gemma":[0.0005860088,0.0001058632,0.002413868,0.00372837,0.0002800315,2.088507e-7,0.00001580048,0.5008411,0.4894626,0.00000512044,0.001032555,0.001528417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890796,0.002719657,0.001293122,0.00001760505,0.00382888,0.0005568425,0.0002033099,0.002272303,0.00002869603],"genre_scores_gemma":[0.998175,0.00004347544,0.0008101508,0.00002788165,0.0006306123,0.00007122808,4.282448e-7,0.0002393681,0.000001867606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4549358,"threshold_uncertainty_score":0.9995123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829709678992888,"score_gpt":0.2269288035574717,"score_spread":0.2086317067675428,"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."}}