{"id":"W4404943369","doi":"10.1098/rspb.2024.1919","title":"Taking cues from ecological and evolutionary theories to expand the landscape of disgust","year":2024,"lang":"en","type":"review","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disgust; Context (archaeology); Ecology; Generalizability theory; Inference; Host (biology); Cognitive psychology; Psychology; Geography; Biology; Computer science; Social psychology; Artificial intelligence; Developmental psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001451822,0.001175825,0.00125262,0.003894338,0.0004822938,0.002389546,0.001351024,0.002230791,0.003095387],"category_scores_gemma":[0.002285366,0.000376744,0.000627316,0.002166063,0.002652339,0.0032906,0.001237552,0.004137159,0.001228905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447532,"about_ca_system_score_gemma":0.001480775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00197506,"about_ca_topic_score_gemma":0.003976334,"domain_scores_codex":[0.9996947,0.0000948079,0.00003469088,0.00005270909,0.000104271,0.00001880209],"domain_scores_gemma":[0.9989043,0.0008131124,0.00007044568,0.00003224138,0.0001339649,0.00004585929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004110462,0.00004080851,0.0004243116,0.01747077,0.0001706147,0.0002346487,0.0005957703,0.0008798442,0.001218306,0.06740199,0.02088706,0.8906347],"study_design_scores_gemma":[0.00001630586,0.0000837959,0.003476065,0.01258532,0.0001448935,0.001988792,0.0006945938,0.00031392,0.0005212937,0.06064773,0.9194531,0.00007412247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002031021,0.9921724,0.001307748,0.001440231,0.0004607286,0.000008819862,0.0000181235,0.00001237572,0.004376548],"genre_scores_gemma":[0.002431751,0.9946908,0.001078732,0.0007062571,0.0003178896,0.0000157531,0.00002091686,0.000005615113,0.000732286],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003894338,"threshold_uncertainty_score":0.01050258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1368775184970765,"score_gpt":0.3351811398779858,"score_spread":0.1983036213809092,"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."}}