{"id":"W1966533509","doi":"10.1167/13.9.1235","title":"Does V1 primarily encodes Spatial Frequencies or Features ?","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Geology; Evolutionary biology; Biology","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":[0.0006996975,0.0004388918,0.0004713286,0.0004976969,0.0002825438,0.002882151,0.0009677002,0.001245099,0.007437618],"category_scores_gemma":[0.004703896,0.0004325257,0.0003823132,0.0004746258,0.0008457751,0.004814253,0.0005044566,0.0007289606,0.001922234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004864478,"about_ca_system_score_gemma":0.0005625825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004039846,"about_ca_topic_score_gemma":0.002727703,"domain_scores_codex":[0.9997008,0.00004153018,0.000009086232,0.0001192133,0.00003667889,0.00009268354],"domain_scores_gemma":[0.9989403,0.0004361485,0.0001793359,0.0001473419,0.0001879338,0.0001089792],"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":[0.001011523,0.000176119,0.05921649,0.0006418214,0.0003122057,0.0004721216,0.001152704,0.003387525,0.5834521,0.05764122,0.01075245,0.2817837],"study_design_scores_gemma":[0.0003014684,0.0008113567,0.4800174,0.0006046426,0.0004633985,0.0021682,0.003788417,0.07506999,0.2092639,0.1996647,0.02760346,0.0002430014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8871573,0.00235142,0.03833743,0.004688276,0.0005006089,0.00005115054,0.001219146,0.0007159838,0.06497876],"genre_scores_gemma":[0.9900786,0.00042038,0.002511918,0.0005683479,0.0001077758,0.00001355917,0.0004885794,0.0001430537,0.00566791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007437618,"threshold_uncertainty_score":0.0248813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339520937805394,"score_gpt":0.2987105290883502,"score_spread":0.2853153197102963,"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."}}