{"id":"W4232668436","doi":"10.32920/ryerson.14645721","title":"Moments of transition","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":"CLARITY; Variety (cybernetics); Hierarchy; Moment (physics); Transition (genetics); Architectural engineering; Computer science; Human–computer interaction; Engineering; Political science; Artificial intelligence; Physics","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":[0.00003704503,0.0001109275,0.0001729679,0.00005346005,0.000008349252,0.00001116082,0.00007544897,0.0001292143,0.0001999671],"category_scores_gemma":[0.000002185915,0.0001111212,0.00008506214,0.00002550471,0.000009697964,0.0000166065,0.00003906307,0.0002107678,0.000004406786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001846379,"about_ca_system_score_gemma":0.00001532715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000275703,"about_ca_topic_score_gemma":0.00001185155,"domain_scores_codex":[0.999541,0.00001400769,0.0001376894,0.0001124569,0.0001097033,0.00008516062],"domain_scores_gemma":[0.9997325,0.00001076996,0.00001298945,0.0001934985,0.00002145986,0.00002876372],"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":[0.000005889542,0.00003956537,0.00003302362,0.001246289,0.0001670057,0.000009416593,0.003391025,0.9799014,0.006997189,0.00005012665,0.000834455,0.007324624],"study_design_scores_gemma":[0.0009282316,0.00006935986,0.004016998,0.0007495242,0.0002322779,0.00001650754,0.0005664319,0.7307796,0.2370733,0.02333285,0.0008155815,0.001419284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1845556,0.0003875056,0.7905093,0.00001628501,0.0003149402,0.0001083904,0.00001431014,0.0001760326,0.02391757],"genre_scores_gemma":[0.9949604,0.00009508917,0.004655916,0.00002294599,0.00005020728,0.000009715649,0.00005915994,0.000019666,0.0001268982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8104048,"threshold_uncertainty_score":0.4531392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092018013080563,"score_gpt":0.2256129086739983,"score_spread":0.2046927285431926,"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."}}