{"id":"W4200552697","doi":"10.32920/16814683.v1","title":"On An Invisible Architecture: An Antidote To Ocularcentric Space","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Architecture; Perception; Space (punctuation); Object (grammar); Aesthetics; Context (archaeology); Alienation; Variety (cybernetics); Urbanity; Meaning (existential); Communication; Art; Sociology; Visual arts; Geography; Epistemology; Linguistics; Computer science; Philosophy; Artificial intelligence; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013089,0.0003790035,0.0004581741,0.0004594474,0.00004466958,0.0002649375,0.0004063882,0.0002453967,0.0009134877],"category_scores_gemma":[0.00002750327,0.0003561747,0.0001995835,0.0004811786,0.00001085022,0.00005804653,0.0001920954,0.0006051729,0.0001250619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008632104,"about_ca_system_score_gemma":0.0000394283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007812706,"about_ca_topic_score_gemma":0.00128987,"domain_scores_codex":[0.9983801,0.00009406174,0.0002413353,0.0005942339,0.0003347627,0.0003555671],"domain_scores_gemma":[0.9984661,0.00002484774,0.00002614535,0.001036793,0.00005481138,0.0003912674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001045249,0.00008410389,0.0001544114,0.00008909944,0.0001974642,0.00007788964,0.0004138169,0.9840444,0.003007738,0.0002113904,0.002776593,0.008932682],"study_design_scores_gemma":[0.0004561092,0.0003979056,0.003233413,0.0002586594,0.0003602856,0.00001142542,0.0001380884,0.9536499,0.02706096,0.00282808,0.009253826,0.002351381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5589902,0.0003569209,0.4333549,0.0002876215,0.0004072802,0.0003204439,0.00002238718,0.0007215413,0.005538699],"genre_scores_gemma":[0.9816518,0.00008888268,0.01565382,0.0004826468,0.0002632675,0.0000217186,0.0002794953,0.00009513149,0.00146318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4226616,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110271302044898,"score_gpt":0.2188314423724456,"score_spread":0.2078043121679558,"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."}}