{"id":"W4240457300","doi":"10.32920/ryerson.14645745","title":"In dialogue with emergence","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":"Speculation; Architecture; Architectural engineering; Production (economics); Set (abstract data type); Computer science; Engineering; Business; History; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002052881,0.00009170352,0.0001002956,0.00004549222,0.000005154719,0.00001198745,0.0000775131,0.00005413765,0.0002166447],"category_scores_gemma":[0.000001869966,0.00007761498,0.00002003553,0.0000693535,0.000005571894,0.00001762491,0.00005555779,0.000223316,0.00001122959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001148321,"about_ca_system_score_gemma":0.00003016771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004669502,"about_ca_topic_score_gemma":0.00031163,"domain_scores_codex":[0.9996376,0.000009043562,0.00008256966,0.0001188539,0.00007329327,0.00007865554],"domain_scores_gemma":[0.9998397,0.00001741701,0.000005946793,0.0001052331,0.00001278975,0.00001894394],"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":[0.000001163078,0.000003949257,0.00009969291,0.00004749684,0.00001564171,0.00004299122,0.0002615979,0.9972432,0.00004946961,0.0002257371,0.0007980016,0.001211121],"study_design_scores_gemma":[0.000580746,0.00007337134,0.03576341,0.0006551413,0.00004802661,0.00006329345,0.0002941336,0.9007256,0.006747443,0.04872697,0.004248581,0.002073291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08936993,0.0005112587,0.8801547,0.0001208149,0.0004645925,0.000128172,0.000002930474,0.0001647975,0.02908286],"genre_scores_gemma":[0.9864856,0.00003831093,0.01313828,0.00007242565,0.00006242724,0.00002620626,0.00002941595,0.00001394822,0.0001333886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8971156,"threshold_uncertainty_score":0.3165047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008657315407500074,"score_gpt":0.200800334877566,"score_spread":0.192143019470066,"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."}}