{"id":"W2963776501","doi":"10.1101/710426","title":"Laminar differences in responses to naturalistic texture in macaque V1 and V2","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health; National Science Foundation","keywords":"Macaque; Contrast (vision); Texture (cosmology); Visual cortex; Noise (video); Pattern recognition (psychology); Artificial intelligence; Psychology; Neuroscience; Computer science; Image (mathematics)","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":[0.0001281896,0.0002163717,0.0001795798,0.0004397729,0.0001897959,0.0006705764,0.0002194236,0.0003163862,0.0007779555],"category_scores_gemma":[0.0006493123,0.0001748048,0.0001380506,0.0001282074,0.0003063719,0.0002451235,0.0004800434,0.000291638,0.00009421091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122768,"about_ca_system_score_gemma":0.00014136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375067,"about_ca_topic_score_gemma":0.002989442,"domain_scores_codex":[0.9999181,0.000006627252,0.000003487188,0.00002703928,0.00001678409,0.00002796891],"domain_scores_gemma":[0.9997399,0.00006144633,0.00005916115,0.00001858165,0.00006029751,0.0000605659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001336138,0.00001353325,0.01207649,0.00005024626,0.00002175344,0.00006937231,0.0003009588,0.0001626253,0.9822704,0.0001362234,0.00005753152,0.004707266],"study_design_scores_gemma":[0.00001393308,0.0002788632,0.9098389,0.00003749958,0.00003068195,0.0004250389,0.0005455595,0.002921915,0.08462958,0.0006242212,0.0006366608,0.00001715105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985771,0.000152107,0.0007100815,0.00001662632,0.000003204008,0.00000467423,0.00004774221,0.00002454618,0.000463937],"genre_scores_gemma":[0.9987306,0.00008143257,0.0006855103,0.00003670558,0.000004310914,0.00001078028,0.00007929601,0.00001321221,0.0003581714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002375067,"threshold_uncertainty_score":0.004722476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270331067898088,"score_gpt":0.2359125092745573,"score_spread":0.2132091985955764,"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."}}