{"id":"W2030990505","doi":"10.1016/j.visres.2004.10.013","title":"Defining the limits of flicker defined form: effect of stimulus size, eccentricity and number of random dots","year":2004,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Flicker; Luminance; Stimulus (psychology); Optics; Psychophysics; Physics; Illusion; Detection threshold; Mathematics; Sensory threshold; Eccentricity (behavior); Computer science; Perception; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.002403658,0.00009757265,0.0002627546,0.0001180948,0.0001992944,0.00003064421,0.0002553025,0.00007746952,0.0001747983],"category_scores_gemma":[0.005028105,0.00005818565,0.00006466985,0.0007795139,0.0003512479,0.0001032515,0.0001586283,0.0002543053,0.00003450644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818644,"about_ca_system_score_gemma":0.0000769195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000832149,"about_ca_topic_score_gemma":0.000004096396,"domain_scores_codex":[0.9976987,0.0005838627,0.000305418,0.0002465165,0.0008953557,0.0002701189],"domain_scores_gemma":[0.9961798,0.00321387,0.0001129109,0.0002312283,0.0001859357,0.00007621806],"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":[0.002143653,0.0002186104,0.001908691,0.000407159,0.000006261253,0.000005100161,0.00117547,0.000173963,0.9576551,0.007261854,0.0001381318,0.02890595],"study_design_scores_gemma":[0.004101129,0.0009181573,0.003178583,0.0001885354,0.000008160689,0.00001091607,0.00005847004,0.001284939,0.9870122,0.003101626,0.00006961939,0.00006768126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970957,0.00008021853,0.0004936881,0.000226769,0.00004801216,0.0003403817,0.000009330256,0.00001351499,0.001692384],"genre_scores_gemma":[0.9994073,0.0001327728,0.0002584198,0.000050023,0.00000879781,0.000008415729,5.999279e-7,0.00001119811,0.0001224842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02935703,"threshold_uncertainty_score":0.6019474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06756075437131868,"score_gpt":0.4335110748347424,"score_spread":0.3659503204634237,"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."}}