{"id":"W2124395834","doi":"10.3758/s13414-014-0641-3","title":"Comparing target detection errors in visual search and manually-assisted search","year":2014,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Unpacking; Visual search; Computer science; Diligence; Task (project management); Due diligence; Artificial intelligence; Psychology; Social psychology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002694256,0.0001866882,0.0002161798,0.0001791425,0.0003057482,0.00007030191,0.0001262583,0.00008863587,0.00003947169],"category_scores_gemma":[0.00001555539,0.0001796952,0.00007530085,0.0004603066,0.0001986517,0.0003385003,0.00007523339,0.0003733578,0.0003082122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005202338,"about_ca_system_score_gemma":0.000004383731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009026139,"about_ca_topic_score_gemma":0.00008625204,"domain_scores_codex":[0.9980685,0.0003339514,0.0002884681,0.0006299489,0.0003357065,0.0003434891],"domain_scores_gemma":[0.9996021,0.00004005495,0.00004957263,0.0001734257,0.00005245301,0.00008236076],"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":[0.00008591308,0.0002640665,0.04903043,0.00001662907,0.000002402362,0.000002238381,0.0002632627,0.00004072568,0.9071857,0.00003811803,0.00004735351,0.04302315],"study_design_scores_gemma":[0.00102617,0.0002593051,0.9800876,0.00002637311,0.0000103608,0.00001673162,0.0005392401,0.005324279,0.01198618,0.0004101004,0.00008339276,0.0002303074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966375,0.000003404992,0.001405831,0.0005594795,0.0004556188,0.0002425724,0.000001773306,0.0001417305,0.000552122],"genre_scores_gemma":[0.9989073,0.00003656372,0.0001231064,0.0003851641,0.0001267786,0.00002501523,0.000005439082,0.00002520402,0.0003654124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9310572,"threshold_uncertainty_score":0.7327757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325689096541348,"score_gpt":0.396246979533694,"score_spread":0.2636780698795592,"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."}}