{"id":"W3082085696","doi":"10.1101/2020.09.01.278168","title":"Gains and Losses Affect Learning Differentially at Low and High Attentional Load","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Stimulus (psychology); Cognitive psychology; Cognition; Affect (linguistics); Psychology; Cognitive load; Task (project management); Learning effect; Attentional control; Neuroscience; Communication","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":[0.0005435292,0.0004311767,0.0003103151,0.0002728574,0.0001488625,0.0008183757,0.0003569138,0.0003337926,0.002134265],"category_scores_gemma":[0.001724558,0.0001729989,0.0001753462,0.00008664528,0.0008098937,0.0005289846,0.0008316767,0.0007158039,0.000141741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535588,"about_ca_system_score_gemma":0.000185568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003456303,"about_ca_topic_score_gemma":0.0003855158,"domain_scores_codex":[0.9996316,0.00005564784,0.00003082173,0.00006656035,0.0001472043,0.00006810981],"domain_scores_gemma":[0.9986105,0.0004014655,0.0004186222,0.0001864815,0.00008845812,0.0002943505],"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":[0.004831468,0.001238338,0.0214882,0.0001568167,0.00008921078,0.0002328107,0.0002901368,0.00119436,0.9520715,0.001019778,0.0001412059,0.01724605],"study_design_scores_gemma":[0.0003410791,0.0086243,0.6207357,0.00007855571,0.0001888147,0.0006531116,0.0008442185,0.01259721,0.3459745,0.008373988,0.001491488,0.0000969658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987305,0.00003282156,0.0005781192,0.00004145965,0.000005208929,0.000007735645,0.00001933415,0.00001743579,0.0005674054],"genre_scores_gemma":[0.998832,0.0000353448,0.0006306842,0.00002716566,0.000003223115,0.00001503149,0.00002807346,0.00001273921,0.0004157241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002134265,"threshold_uncertainty_score":0.007139802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06587954089032884,"score_gpt":0.2932047750943273,"score_spread":0.2273252342039985,"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."}}