{"id":"W2083825442","doi":"10.1016/j.brainres.2009.07.004","title":"Positive and negative congruency effects in masked priming: A neuro-computational model based on representation, attention, and conflict","year":2009,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Psychology; Negative priming; Prime (order theory); Priming (agriculture); Neuroscience; Cognitive psychology; Cognition; Response priming; Modulation (music); Inhibitory postsynaptic potential; Representation (politics); Selective attention; Mathematics; Lexical decision task; Biology; Physics","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":[0.002546192,0.0004323705,0.0005496858,0.0006160916,0.0004033646,0.001396773,0.0009373691,0.001076664,0.005786906],"category_scores_gemma":[0.01527737,0.0006036944,0.0005818864,0.0003707943,0.001367283,0.002100313,0.001133322,0.001242645,0.0004206063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004663721,"about_ca_system_score_gemma":0.0004661366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005298894,"about_ca_topic_score_gemma":0.0004707809,"domain_scores_codex":[0.9993854,0.0002212324,0.00003263172,0.0001643323,0.0001293056,0.00006721031],"domain_scores_gemma":[0.9936662,0.004890706,0.0005577947,0.0004197181,0.0001881047,0.0002774149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004918093,0.001065266,0.01603895,0.0004953847,0.0002575012,0.0008728842,0.001591008,0.02320731,0.6014585,0.297511,0.001538265,0.05104589],"study_design_scores_gemma":[0.000673718,0.0009235571,0.08268429,0.00006985334,0.0004636777,0.001419436,0.0002675143,0.254712,0.06651971,0.5904961,0.001609633,0.0001605084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8799646,0.0003920846,0.09685351,0.001735947,0.0002395005,0.0001595596,0.0001894243,0.0002051478,0.02026025],"genre_scores_gemma":[0.9912827,0.00006037001,0.007663128,0.0001819211,0.00005042929,0.00004663022,0.0000367045,0.00006022774,0.0006177816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005786906,"threshold_uncertainty_score":0.01935911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2053507609116466,"score_gpt":0.4672432075983914,"score_spread":0.2618924466867449,"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."}}