{"id":"W2134681688","doi":"10.1037/cep0000004","title":"Top-down and bottom-up aspects of active search in a real-world environment.","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Visual search; Gaze; Salience (neuroscience); Psychology; Eye movement; Cognitive psychology; Active vision; Salient; Eye tracking; Top-down and bottom-up design; Task (project management); Communication; Computer science; Artificial intelligence; Neuroscience","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":[0.0005614324,0.0002737817,0.000275355,0.000680185,0.0003070875,0.00128058,0.0004108004,0.0004466429,0.002448804],"category_scores_gemma":[0.005534947,0.0002278203,0.0002814949,0.0004768808,0.0007731992,0.001578293,0.001060585,0.0003853822,0.000363293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005641193,"about_ca_system_score_gemma":0.0003393292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003048915,"about_ca_topic_score_gemma":0.002879951,"domain_scores_codex":[0.9993483,0.0001451296,0.00003060308,0.0001986865,0.0001907712,0.00008644531],"domain_scores_gemma":[0.9975349,0.00106535,0.00057083,0.0003953107,0.0002314755,0.0002021369],"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":[0.001170214,0.0003721578,0.1010156,0.001039151,0.0003073746,0.000609197,0.00956604,0.004878424,0.5678534,0.02567582,0.002581373,0.2849313],"study_design_scores_gemma":[0.00004622036,0.0006919457,0.9072036,0.0001050581,0.0001150081,0.0008024628,0.002009111,0.02328874,0.02838298,0.02982652,0.007402529,0.0001257775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9097375,0.00192096,0.05984622,0.0003585668,0.00003380521,0.00008358718,0.0002344614,0.0002393529,0.02754555],"genre_scores_gemma":[0.9930035,0.0001857811,0.005443449,0.00004219004,0.00001078945,0.00002092446,0.00009740764,0.00003231145,0.001163505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003048915,"threshold_uncertainty_score":0.008192062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03838304276979544,"score_gpt":0.3173632125995124,"score_spread":0.278980169829717,"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."}}