{"id":"W4240176431","doi":"10.32920/ryerson.14662644","title":"Interstitial place","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Architecture, Modernity, and Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Amenity; Urbanism; Realm; Public space; Architecture; Landscape architecture; Situated; Architectural engineering; Landscape urbanism; Space (punctuation); Sense of place; Civil engineering; Geography; Environmental planning; Economic geography; Political science; Computer science; Engineering; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.00004718488,0.0002007292,0.0002050581,0.00005991078,0.00002131824,0.00008011806,0.00018788,0.0002089287,0.0006412477],"category_scores_gemma":[0.00001350593,0.0001982797,0.0001097741,0.00002505653,0.00001862642,0.00002354246,0.0003079503,0.0006177255,0.00006052606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005331167,"about_ca_system_score_gemma":0.00004092102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000468193,"about_ca_topic_score_gemma":0.0001241739,"domain_scores_codex":[0.9993439,0.00002023581,0.0001365094,0.0002123111,0.0001148163,0.0001722849],"domain_scores_gemma":[0.9995449,0.00003510394,0.00001174357,0.0003213626,0.00001998997,0.00006693376],"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":[0.00001632861,0.00002735779,0.00005837362,0.0007379444,0.000243126,0.0001202819,0.002632036,0.9505228,0.0006908672,0.0002282617,0.03316424,0.0115584],"study_design_scores_gemma":[0.0007042291,0.00005926557,0.0005503128,0.0005884994,0.0001456835,0.0000846744,0.0005728086,0.944236,0.01773397,0.00749055,0.02554203,0.002292014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03620515,0.0007041894,0.8116224,0.00003614405,0.00189681,0.00012211,0.00001025615,0.0008048704,0.1485981],"genre_scores_gemma":[0.9897812,0.00007649494,0.008148008,0.00009777232,0.0004094341,0.00001743259,0.00005240872,0.00004678313,0.001370463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.953576,"threshold_uncertainty_score":0.808561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051240978445824,"score_gpt":0.2298971189152644,"score_spread":0.2093847091308062,"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."}}