{"id":"W4241920389","doi":"10.31234/osf.io/jyu93","title":"Exploring the generalisation of affect across related experiences: A study of affective bleed and memory precision","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Valence (chemistry); Affect (linguistics); Cognitive psychology; Context (archaeology); Associative property; Content-addressable memory; Social psychology; Developmental psychology; Communication; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006704793,0.0002201399,0.000215942,0.0005685139,0.0001868298,0.0006874039,0.000188388,0.0002904595,0.0007123306],"category_scores_gemma":[0.003326748,0.0001980939,0.000142257,0.0002827632,0.0007409624,0.0004475372,0.0004418117,0.0004314815,0.0001172713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001945668,"about_ca_system_score_gemma":0.00008071748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005447229,"about_ca_topic_score_gemma":0.0005418507,"domain_scores_codex":[0.9997601,0.00005028796,0.00001693197,0.00008451152,0.00006714376,0.00002112981],"domain_scores_gemma":[0.9986136,0.0004895358,0.0004396712,0.0002486142,0.0001006474,0.0001080021],"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":[0.002457371,0.000870135,0.229521,0.0001977054,0.0001908755,0.0004522552,0.008784433,0.0004873095,0.6805788,0.0008114636,0.0001441827,0.07550441],"study_design_scores_gemma":[0.00001388357,0.0008470454,0.9808459,0.000006286383,0.00003613512,0.0002837773,0.0006911274,0.000349011,0.01615654,0.0004976898,0.0002571241,0.0000155552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989213,0.0000584743,0.0004337069,0.000007665514,0.00000164657,0.000006717342,0.00001515637,0.000003446743,0.0005519878],"genre_scores_gemma":[0.9992177,0.00005284174,0.0003456833,0.00001270383,0.00000293853,0.0000106113,0.00002448697,0.000004053389,0.0003288398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007123306,"threshold_uncertainty_score":0.00354588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1743410635885549,"score_gpt":0.3497342504409132,"score_spread":0.1753931868523582,"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."}}