{"id":"W1969608132","doi":"10.1080/02724980343000134","title":"Distinct Mechanisms Account for the Linear non–Separability and Conjunction Effects in Visual Shape Encoding","year":2003,"lang":"en","type":"article","venue":"The Quarterly Journal of Experimental Psychology Section A","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Conjunction (astronomy); Encoding (memory); Computer science; Artificial intelligence; Physics","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":[0.001398903,0.0007162238,0.0007564512,0.001162831,0.0003361077,0.001556835,0.001092757,0.0009001691,0.004365227],"category_scores_gemma":[0.009145873,0.00109172,0.001052965,0.0008301257,0.001085787,0.0035657,0.001456049,0.001382279,0.0006285518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005646233,"about_ca_system_score_gemma":0.0005787833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007489139,"about_ca_topic_score_gemma":0.0007529158,"domain_scores_codex":[0.9992874,0.00007709568,0.00007023278,0.000192437,0.0002804645,0.00009236811],"domain_scores_gemma":[0.9919409,0.005178493,0.001300426,0.0007982848,0.0004659259,0.0003160307],"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":[0.001804347,0.0002788069,0.03339006,0.0005358745,0.0001793524,0.0004618685,0.0008783459,0.00387761,0.8558544,0.01656428,0.0002872509,0.08588785],"study_design_scores_gemma":[0.0003687677,0.00134522,0.5229486,0.00008528637,0.0004139352,0.004086968,0.0003848444,0.1396734,0.2839425,0.04503974,0.001436425,0.0002743061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126707,0.001352403,0.0804389,0.0002813417,0.00005015666,0.000075252,0.0001246419,0.0003016319,0.004705029],"genre_scores_gemma":[0.9795759,0.0004458663,0.01886543,0.00004281384,0.00002125564,0.00003823458,0.0001341403,0.00008953466,0.0007868038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004365227,"threshold_uncertainty_score":0.01460314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04776475350541604,"score_gpt":0.3899483887073092,"score_spread":0.3421836352018932,"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."}}