{"id":"W3209025936","doi":"10.32920/ryerson.14647413.v1","title":"Moody architecture: emotionally intelligent prostheses","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Architecture; Cybernetics; Phenomenology (philosophy); Doctrine; Computer science; Normative; Cognitive science; Cognitive architecture; Human–computer interaction; Cognition; Psychology; Artificial intelligence; Epistemology; Law; Neuroscience","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":[0.0002370196,0.0003401933,0.0001520295,0.0001789747,0.000570735,0.002313189,0.0004273625,0.000841367,0.006592398],"category_scores_gemma":[0.000679118,0.0002616195,0.0002955291,0.0001146653,0.002160904,0.001691096,0.001712224,0.0008313282,0.001161031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000413347,"about_ca_system_score_gemma":0.0003033937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004630185,"about_ca_topic_score_gemma":0.0005310656,"domain_scores_codex":[0.9998617,0.00004072399,0.000007141242,0.00003379532,0.00003544619,0.00002121329],"domain_scores_gemma":[0.999915,0.00002304096,0.000009467793,0.0000218048,0.00001623151,0.00001447961],"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":[0.00004486248,0.00002835625,0.0003511598,0.00007100777,0.00001168315,0.0002031457,0.001326869,0.0079035,0.009220323,0.9442453,0.002998771,0.03359502],"study_design_scores_gemma":[0.00004869431,0.0001092144,0.001043149,0.00007958256,0.00002637748,0.0004991116,0.0005854694,0.04280235,0.003845652,0.8690284,0.08190465,0.0000272822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1501383,0.002989218,0.5096449,0.006033361,0.0006075181,0.000120994,0.0001234246,0.0007230107,0.3296192],"genre_scores_gemma":[0.8607053,0.001489977,0.07919522,0.0005378402,0.0001236989,0.0001466138,0.00008913418,0.0001065143,0.05760561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006592398,"threshold_uncertainty_score":0.02205378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376782497571472,"score_gpt":0.2147230560561823,"score_spread":0.2009552310804676,"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."}}