{"id":"W2118231664","doi":"10.1007/978-3-642-30950-2_12","title":"Cognitive Priming: Assessing the Use of Non-conscious Perception to Enhance Learner’s Reasoning Ability","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cognitive Science and Education Research","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Cognition; Subliminal stimuli; Perception; Priming (agriculture); Unconscious mind; Cognitive science; Logical reasoning; Cognitive psychology; Artificial intelligence; Psychology","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":[0.001194269,0.0006540252,0.0003336132,0.0003319913,0.0001425236,0.0005486369,0.0005955807,0.0007734498,0.005880455],"category_scores_gemma":[0.006608903,0.0003023937,0.0002759616,0.000196068,0.0003373152,0.001331825,0.0006765882,0.001256182,0.00110603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203763,"about_ca_system_score_gemma":0.0004398792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688301,"about_ca_topic_score_gemma":0.0001444559,"domain_scores_codex":[0.9994179,0.0001232356,0.00004227307,0.0001613131,0.0002151569,0.00004012377],"domain_scores_gemma":[0.9967819,0.00189976,0.0005560907,0.000267212,0.0002182216,0.0002767764],"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":[0.01274721,0.01054311,0.02870504,0.001410881,0.0002584751,0.0004162776,0.00283702,0.001215218,0.6179561,0.003035648,0.003362849,0.3175122],"study_design_scores_gemma":[0.001988074,0.05739769,0.4464816,0.0002982448,0.0008848751,0.003434458,0.0009525869,0.01111468,0.4538274,0.01629407,0.007069131,0.0002571217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706915,0.0005755476,0.0182631,0.000193933,0.0001882319,0.0005190905,0.0002883058,0.0003549534,0.008925396],"genre_scores_gemma":[0.9787067,0.0004858754,0.01590456,0.0001651132,0.00005238519,0.0005514459,0.0002147727,0.00009775535,0.003821361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005880455,"threshold_uncertainty_score":0.01967204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1122416190776637,"score_gpt":0.3995042642802006,"score_spread":0.2872626452025369,"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."}}