{"id":"W7104493810","doi":"10.71781/18818","title":"The processing sequence from low to high spatial frequencies investigated by temporal sampling","year":2024,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spatial frequency; High resolution; Frequency selectivity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002096963,0.0002291149,0.0001855354,0.0003136449,0.0001523192,0.0002918408,0.0001689691,0.0002072794,0.00391889],"category_scores_gemma":[0.001018798,0.0001282999,0.000173711,0.0004321606,0.0002397451,0.0002828759,0.0002202197,0.0001968951,0.0004316517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779707,"about_ca_system_score_gemma":0.0002742036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350499,"about_ca_topic_score_gemma":0.001781314,"domain_scores_codex":[0.9998968,0.0000130127,0.000006154919,0.00002871143,0.00003711814,0.00001820311],"domain_scores_gemma":[0.9996858,0.0001249646,0.00003969121,0.00003134618,0.00008948603,0.00002882067],"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":[0.0009802609,0.00004127369,0.003432258,0.0001709221,0.00001759309,0.0001800814,0.0002250605,0.001266533,0.9232664,0.000877012,0.0002277821,0.06931487],"study_design_scores_gemma":[0.0001360907,0.003489847,0.422303,0.0001486277,0.0002699116,0.003309328,0.0007804731,0.07388865,0.4732277,0.007522174,0.01483737,0.00008680553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467104,0.0007108288,0.04739876,0.00007212688,0.00004734054,0.0000970688,0.0002689521,0.000110085,0.004584462],"genre_scores_gemma":[0.9614486,0.0005645251,0.03316241,0.00006306896,0.00001992894,0.0001287489,0.0003683082,0.00005438964,0.004190079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00391889,"threshold_uncertainty_score":0.01310998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1299425321117073,"score_gpt":0.3693255000663326,"score_spread":0.2393829679546253,"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."}}