{"id":"W4200232233","doi":"10.32920/16811473.v1","title":"Corporeality: a haptic space","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; Society for the Study of Architecture in Canada","funders":"","keywords":"Haptic technology; Perception; Space (punctuation); Haptic perception; Sight; Architecture; Psychology; Cognitive science; Communication; Computer science; Aesthetics; Cognitive psychology; Human–computer interaction; Artificial intelligence; Visual arts; Art; 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":[0.0004034169,0.0004093836,0.0002086444,0.0003840141,0.0008610036,0.004518623,0.0004401304,0.001088373,0.01371133],"category_scores_gemma":[0.001069345,0.0002278186,0.0003579727,0.0003012952,0.007124565,0.004733837,0.002788275,0.0013239,0.00120554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000775765,"about_ca_system_score_gemma":0.0004919298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005539538,"about_ca_topic_score_gemma":0.0003542006,"domain_scores_codex":[0.9996442,0.0001281308,0.00001135074,0.00006712163,0.0001138058,0.00003543419],"domain_scores_gemma":[0.9997589,0.00008115069,0.00001929261,0.00006184621,0.00004164698,0.0000371654],"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":[0.00001615482,0.000004128447,0.00007673501,0.00006169337,0.000004533529,0.00008426848,0.001274519,0.0006047851,0.002539258,0.9826904,0.001208292,0.01143522],"study_design_scores_gemma":[0.00002675421,0.0001033531,0.0008570607,0.0001604035,0.00001421274,0.0006563228,0.001955788,0.007258619,0.0026589,0.8247705,0.1615043,0.00003397664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0612653,0.008320957,0.3054117,0.01003042,0.001443883,0.0000683058,0.0001494809,0.000718653,0.6125913],"genre_scores_gemma":[0.8815279,0.002875919,0.04496656,0.0008061836,0.0003927105,0.00007373065,0.00007658356,0.0001602804,0.06912005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01371133,"threshold_uncertainty_score":0.04586899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555353415467765,"score_gpt":0.2106080113917079,"score_spread":0.1950544772370303,"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."}}