{"id":"W2047431063","doi":"10.1037/0278-7393.31.5.1001","title":"Selective and Nonselective Transfer: Positive and Negative Priming in a Multiple-Task Environment.","year":2005,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Lexical decision task; Psychology; Stimulus (psychology); Priming (agriculture); Cognitive psychology; Prime (order theory); Information processing; Communication; Cognition; Neuroscience; Mathematics; Biology","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":[0.001113137,0.0005147399,0.0003880968,0.0003022536,0.0001925168,0.000340789,0.0004834287,0.0005913616,0.003607317],"category_scores_gemma":[0.004609262,0.0003419573,0.0001807321,0.00009499104,0.001009645,0.0007047075,0.0009505765,0.001088989,0.0004164488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243122,"about_ca_system_score_gemma":0.0002414171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000112249,"about_ca_topic_score_gemma":0.0001327893,"domain_scores_codex":[0.9993948,0.0001588519,0.0000295086,0.0001894003,0.0001437998,0.00008357289],"domain_scores_gemma":[0.9981311,0.0009902534,0.0002241739,0.0002329276,0.00007974856,0.0003417915],"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":[0.003702324,0.001121247,0.00177349,0.0001341465,0.00002338932,0.0003913653,0.0003239243,0.0001385466,0.9730936,0.002274685,0.000305887,0.01671734],"study_design_scores_gemma":[0.001185123,0.01061292,0.2015837,0.00006751119,0.0002136366,0.006521953,0.0003720493,0.009407052,0.7394699,0.02747418,0.002967927,0.0001239131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905681,0.00007549366,0.002608394,0.0001171191,0.000060041,0.00007349659,0.00004300753,0.00008719983,0.006367237],"genre_scores_gemma":[0.9970334,0.00004168292,0.001505124,0.0001206302,0.00002212782,0.00008210465,0.00003956593,0.00005145372,0.001104031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003607317,"threshold_uncertainty_score":0.01206762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06307846187906818,"score_gpt":0.3463927475317253,"score_spread":0.2833142856526571,"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."}}