{"id":"W2586144351","doi":"","title":"Attentional Allocation During Feedback: Eyetracking Adventures on the Other Side of the Response","year":2008,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"British Columbia Knowledge Development Fund; Simon Fraser University","keywords":"Psychology; Categorization; Cognitive psychology; Expectancy theory; Watson; Cognition; Cognitive science; Computer science; Social psychology; Neuroscience; Artificial intelligence","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":[0.0001345628,0.0002003503,0.0001450213,0.00006948419,0.000582665,0.000126563,0.0005874751,0.00007141209,0.0001588999],"category_scores_gemma":[0.000609933,0.0001077126,0.0001987436,0.0004130841,0.0004836691,0.00088906,0.000213279,0.0004123821,0.000428264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001617795,"about_ca_system_score_gemma":0.00002950678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000112233,"about_ca_topic_score_gemma":5.540554e-7,"domain_scores_codex":[0.9982941,0.0003030565,0.0003117353,0.0003759977,0.0004404822,0.0002746351],"domain_scores_gemma":[0.9988878,0.0004772069,0.0001732003,0.000383443,0.00002118892,0.00005717856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001527819,0.0005123825,0.2752255,0.00001886041,0.00001993332,0.00005080559,0.00009825674,0.00002468851,0.7180458,0.001635973,0.002078914,0.0007611563],"study_design_scores_gemma":[0.0002835195,0.00005905711,0.491825,0.00006241375,0.000006478919,0.00004587437,0.00002459684,0.000001678797,0.4971656,0.001254372,0.009126065,0.000145398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878663,0.00003338951,0.000001094375,0.007938984,0.000187848,0.0002525678,0.0004077523,0.00009280108,0.003219302],"genre_scores_gemma":[0.9946129,0.000008247952,0.0000078998,0.002356354,0.00007586348,0.0000190078,0.000004819582,0.00003187859,0.002882984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2208802,"threshold_uncertainty_score":0.550461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0716763738769728,"score_gpt":0.2790128922357658,"score_spread":0.207336518358793,"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."}}