{"id":"W2609335073","doi":"","title":"Implicit and Explicit Learning of a Covariation Across Visual Search Displays","year":2004,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Context (archaeology); Cognitive psychology; Pairing; Set (abstract data type); Perception; Experimental psychology; Implicit learning; Visual search; Eye movement; Cognition; Computer science","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":[0.001401896,0.0003036498,0.0003342473,0.0002898677,0.000147629,0.001130384,0.0005485655,0.0003996872,0.001238177],"category_scores_gemma":[0.01530939,0.0003043131,0.0001865558,0.0002717133,0.0007337924,0.001996072,0.001090529,0.0008816628,0.000176767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332979,"about_ca_system_score_gemma":0.0004215036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006136602,"about_ca_topic_score_gemma":0.000830011,"domain_scores_codex":[0.9989753,0.0001584453,0.0001059308,0.0002724723,0.0004077647,0.00008012611],"domain_scores_gemma":[0.9905997,0.003850889,0.002274521,0.002552266,0.0004381564,0.0002845662],"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":[0.003111525,0.00175467,0.133803,0.0005733932,0.0002201748,0.0003206336,0.004055932,0.00289281,0.5795343,0.005584212,0.0002614866,0.2678879],"study_design_scores_gemma":[0.0002426363,0.005332948,0.6500518,0.0001158597,0.0002308441,0.001813466,0.0009970064,0.02462598,0.2950523,0.01827193,0.003137208,0.0001280784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894057,0.00009875691,0.00887733,0.00003383738,0.000008302025,0.00002279018,0.00002930255,0.00003480919,0.001489132],"genre_scores_gemma":[0.9954323,0.00007651913,0.003505795,0.00002084484,0.000006747713,0.00001603498,0.00006214201,0.00001372691,0.0008660209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001401896,"threshold_uncertainty_score":0.007414043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03391212478146847,"score_gpt":0.3029120355130118,"score_spread":0.2689999107315433,"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."}}