{"id":"W4386242027","doi":"10.1167/jov.23.9.5055","title":"The semantic distance between a linguistic prime and a natural scene target predicts reaction times in a visual search experiment","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Prime (order theory); Sentence; Set (abstract data type); Visual search; Natural language processing; Natural (archaeology); Artificial intelligence; Task (project management); Reading (process); Psychology; Computer science; Linguistics; Cognitive psychology; Mathematics; Combinatorics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127435,0.00008029218,0.0001381771,0.0002195866,0.0001808096,0.0001574595,0.000211064,0.0000360314,0.000001010619],"category_scores_gemma":[0.0001699822,0.00005285064,0.00004993837,0.0005260378,0.00003545262,0.0002956313,0.0001085273,0.0002512092,0.000009443393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007597324,"about_ca_system_score_gemma":0.00004175527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008951181,"about_ca_topic_score_gemma":0.000003258898,"domain_scores_codex":[0.9986666,0.000139804,0.00035824,0.0001516384,0.0004977085,0.0001859554],"domain_scores_gemma":[0.9993805,0.0001486261,0.0001626902,0.0001097163,0.000126802,0.00007162969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000729128,0.0007065454,0.037723,0.0001791547,0.0001589582,0.0004711146,0.01501345,0.0003153349,0.2711522,0.002769785,0.001368089,0.6694133],"study_design_scores_gemma":[0.00100902,0.001160024,0.6595154,0.0003793236,0.000009548095,0.00006625387,0.0002857681,0.3267575,0.007444385,0.0016695,0.001548441,0.0001548994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769452,0.0005002772,0.02070728,0.000893711,0.0007469583,0.000122393,3.672587e-7,0.00004106007,0.0000427976],"genre_scores_gemma":[0.9989929,0.0001248791,0.000572075,0.00001422526,0.00016071,0.00000165894,7.840304e-7,0.000005271119,0.00012755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6692584,"threshold_uncertainty_score":0.2155186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652306564713725,"score_gpt":0.3416813982366657,"score_spread":0.3251583325895285,"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."}}