{"id":"W1979454848","doi":"10.1145/1822327.1822340","title":"The relationship between scan path direction and cognitive processing","year":2010,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Cognition; Computer science; Neurophysiology; Perception; Interface (matter); Encoding (memory); Path (computing); Spatial cognition; Task (project management); Path integration; Eye movement; Information processing; Human–computer interaction; Cognitive psychology; Artificial intelligence; Psychology; Neuroscience; Engineering","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":[0.0002227541,0.00004507146,0.00004070599,0.00003295158,0.0004484119,0.0001350367,0.0001442403,0.00004749896,6.322775e-7],"category_scores_gemma":[0.0002861893,0.00002887896,0.000008732673,0.0001664973,0.0001155831,0.0001474654,0.00005521535,0.0002160068,0.000006525343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003592592,"about_ca_system_score_gemma":0.00002003716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001251407,"about_ca_topic_score_gemma":0.00007293841,"domain_scores_codex":[0.9996033,0.00002029408,0.00006596457,0.0001474148,0.00006124872,0.0001017937],"domain_scores_gemma":[0.9993827,0.0004038426,0.00003687174,0.0001031449,0.00004939684,0.00002409423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[2.874093e-7,0.000002912957,0.5347451,0.000001051916,0.000001396048,2.467974e-7,0.00006613169,8.852973e-9,0.00005876309,0.0434881,0.00001624961,0.4216198],"study_design_scores_gemma":[0.00005866712,0.00001917541,0.980967,0.000008520177,0.000003714982,0.000005417233,0.00003075049,0.0005360522,0.0003407499,0.01769459,0.0002939366,0.00004146622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8106648,0.00003578914,0.1828964,0.002034457,0.00009832896,0.00005583183,3.935623e-7,0.0003166498,0.003897361],"genre_scores_gemma":[0.9955774,5.270465e-7,0.004043155,0.00002129541,0.00003342579,0.000006022963,4.231184e-7,0.000002351827,0.0003154333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4462219,"threshold_uncertainty_score":0.3448867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751113956231803,"score_gpt":0.2802606034477822,"score_spread":0.2527494638854642,"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."}}