{"id":"W4400832140","doi":"10.1007/s11229-024-04679-9","title":"Ambient smart environments: affordances, allostasis, and wellbeing","year":2024,"lang":"en","type":"article","venue":"Synthese","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affordance; Allostasis; Endocentric and exocentric; Agency (philosophy); Field (mathematics); Computer science; Inference; Human–computer interaction; Cognitive science; Psychology; Cognitive psychology; Artificial intelligence; Epistemology","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":[0.0009558608,0.0002567246,0.0002194544,0.0005170506,0.000552737,0.002562849,0.0003329018,0.0007444088,0.004316979],"category_scores_gemma":[0.00238966,0.0001112415,0.0002385219,0.0003991855,0.008602574,0.003605351,0.002769618,0.0006811614,0.0001985816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006360888,"about_ca_system_score_gemma":0.0003245024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000484822,"about_ca_topic_score_gemma":0.0005901437,"domain_scores_codex":[0.9995031,0.0002588906,0.00002382328,0.00007153719,0.0001028626,0.00003971803],"domain_scores_gemma":[0.9992632,0.0003556296,0.0001438183,0.0001107656,0.0000550796,0.00007156505],"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":[0.00008989805,0.00004281038,0.004298413,0.0004366275,0.00005674077,0.0003051518,0.02652089,0.003883455,0.004224111,0.8909816,0.001330896,0.06782954],"study_design_scores_gemma":[0.00001798246,0.00009614184,0.01163708,0.0003941407,0.00004562343,0.0005712038,0.01575837,0.003941964,0.001858914,0.9072101,0.05842252,0.00004589605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5316241,0.0127206,0.1669355,0.01267743,0.0002532365,0.0000645531,0.000147395,0.0001851274,0.275392],"genre_scores_gemma":[0.9918877,0.001091813,0.005485037,0.0001289094,0.00001617239,0.0000183209,0.00001607152,0.000008312881,0.001347664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004316979,"threshold_uncertainty_score":0.01444173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207521618600805,"score_gpt":0.2502607795482955,"score_spread":0.229508617688215,"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."}}