{"id":"W2158893270","doi":"10.1037/0096-1523.29.6.1211","title":"Temporal Variations in Visual Completion: A Reflection of Spatial Limits?","year":2003,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Eye Institute","keywords":"Computer vision; Artificial intelligence; Occlusion; Interpolation (computer graphics); Computer science; Limit (mathematics); Matching (statistics); Reflection (computer programming); Mathematics; Image (mathematics); Statistics","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":[0.001709488,0.0002195827,0.0002741072,0.000529717,0.0001561266,0.0009707456,0.0004759911,0.0003890301,0.002822964],"category_scores_gemma":[0.01596834,0.0003971453,0.0002344139,0.0003615692,0.000933128,0.002177373,0.00086417,0.0006514365,0.0003439671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002539483,"about_ca_system_score_gemma":0.0002901022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005580524,"about_ca_topic_score_gemma":0.0003008494,"domain_scores_codex":[0.9992055,0.0001247188,0.00007960086,0.0002247138,0.0002870466,0.00007840878],"domain_scores_gemma":[0.989475,0.005054921,0.002360814,0.002044071,0.0006239427,0.0004410886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003229964,0.000264632,0.03904771,0.0005154517,0.00008793146,0.0002993816,0.003249626,0.003543751,0.8287138,0.02228949,0.0004767762,0.09828138],"study_design_scores_gemma":[0.0001958731,0.002494578,0.727479,0.0001943859,0.0001307573,0.002264129,0.001298181,0.02107112,0.1919566,0.04472208,0.008006444,0.0001868466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9450704,0.001288567,0.04790477,0.0001640364,0.00002432104,0.00005397876,0.0001475404,0.000272471,0.005073884],"genre_scores_gemma":[0.9943407,0.0002092733,0.004828604,0.00002279579,0.00001326306,0.00004569516,0.00008245353,0.00005111007,0.0004062325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002822964,"threshold_uncertainty_score":0.00944376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179142440503529,"score_gpt":0.434006140427931,"score_spread":0.3160918963775782,"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."}}