{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004533975,0.0002204447,0.00009879653,0.000723358,0.000104081,0.0006456157,0.0001387295,0.0002553256,0.002755997],"category_scores_gemma":[0.01211234,0.0001996375,0.0001075017,0.0003850229,0.0002628719,0.0007538559,0.0003421274,0.0002664222,0.0002635196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001630239,"about_ca_system_score_gemma":0.0001958572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270868,"about_ca_topic_score_gemma":0.001613034,"domain_scores_codex":[0.9997055,0.00008137248,0.00002730364,0.00006488651,0.0000959308,0.00002496374],"domain_scores_gemma":[0.9906019,0.006004863,0.001655769,0.00027502,0.001252631,0.0002097708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002114855,0.0002435821,0.5313748,0.0003872187,0.0001931157,0.0003270891,0.001626414,0.002370244,0.3334531,0.001326816,0.0005412491,0.1260415],"study_design_scores_gemma":[0.00001915703,0.000350243,0.9841192,0.00002406178,0.00003573248,0.0004548481,0.0002560898,0.003512703,0.009508315,0.001268146,0.0004332241,0.00001809191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986792,0.0003427112,0.008440546,0.00009129344,0.000009816655,0.00004045253,0.0001616477,0.00005823121,0.004063506],"genre_scores_gemma":[0.9948362,0.0002374048,0.004124661,0.00002497422,0.000006480102,0.00002570494,0.0001019337,0.00002239495,0.0006202848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002755997,"threshold_uncertainty_score":0.009219766,"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."}}