{"id":"W3113280510","doi":"10.1098/rstb.2019.0692","title":"Out of the blue: understanding abrupt and wayward transitions in thought using probability and predictive processing","year":2020,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Institute of Neurosciences, Mental Health and Addiction; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Surprise; Phenomenology (philosophy); Perception; Feeling; Psychology; Transition (genetics); Cognitive psychology; Probabilistic logic; Phenomenon; Epistemology; Cognitive science; Social psychology; Philosophy","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":[0.001122752,0.0003273801,0.0002962903,0.001041387,0.0004074954,0.002964005,0.0009076729,0.0008486353,0.002455476],"category_scores_gemma":[0.007997764,0.0003642012,0.0006655856,0.0005762576,0.003244082,0.007645704,0.001660305,0.001522798,0.0002982884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121363,"about_ca_system_score_gemma":0.0003442578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009501409,"about_ca_topic_score_gemma":0.0005947012,"domain_scores_codex":[0.9996091,0.0001206759,0.0000233625,0.0001118136,0.00008509783,0.00005008334],"domain_scores_gemma":[0.9963887,0.002259335,0.0005595337,0.0004140518,0.0001682258,0.0002101511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000560365,0.0001496268,0.01487194,0.0003575534,0.0001392173,0.000668134,0.009386062,0.0394969,0.04779308,0.754064,0.001040473,0.1314725],"study_design_scores_gemma":[0.00001402176,0.00007905564,0.01429064,0.00005007095,0.00002330297,0.0002682436,0.0006301444,0.1535622,0.003024779,0.8264933,0.001498493,0.00006580498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2544715,0.0008672523,0.7321271,0.001192863,0.00008699456,0.00005716424,0.0001381626,0.0003041083,0.01075483],"genre_scores_gemma":[0.9363164,0.0004219417,0.06221344,0.0001053345,0.00006357875,0.00004992714,0.00007455188,0.00008818117,0.0006667369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002964005,"threshold_uncertainty_score":0.008214355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1931065556640127,"score_gpt":0.2960049135232563,"score_spread":0.1028983578592436,"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."}}