{"id":"W4249903487","doi":"10.32920/ryerson.14647461","title":"Matured Infrastructures Strategizing Architectural Growth Through Infrastructure","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":"Framing (construction); Architecture; Architectural engineering; Business; Engineering; Civil engineering; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.00005165443,0.0007348282,0.0005919586,0.0001592824,0.0001059909,0.0003756503,0.0005663161,0.0006007681,0.0005049418],"category_scores_gemma":[0.00002555385,0.0006507582,0.0002948545,0.0002404804,0.00007574526,0.0001345984,0.0004594714,0.002104508,0.00001071443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024112,"about_ca_system_score_gemma":0.0001814733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005393576,"about_ca_topic_score_gemma":0.0000320253,"domain_scores_codex":[0.9978946,0.0000757447,0.0004809334,0.0005931745,0.0004515192,0.0005040319],"domain_scores_gemma":[0.9990645,0.0001020898,0.00008468699,0.0004905299,0.0001348448,0.0001233501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001220539,0.000005730874,0.00007525001,0.0005489497,0.0003315246,0.00006262284,0.002040344,0.9802103,0.001752049,0.00458741,0.005407214,0.004966368],"study_design_scores_gemma":[0.0005478333,0.00004816813,0.03375005,0.0004261305,0.0001622966,0.0004469868,0.0005314498,0.07149167,0.01176567,0.8776974,0.0008937008,0.002238659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2617446,0.002804677,0.6612472,0.0002013987,0.002674271,0.0006249046,0.0001176791,0.002112495,0.06847277],"genre_scores_gemma":[0.8853734,0.00006829321,0.1127786,0.0003544023,0.0006496784,0.00003565333,0.0005707729,0.0001107494,0.00005844265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9087186,"threshold_uncertainty_score":0.9995944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007796003148676325,"score_gpt":0.2103414625941983,"score_spread":0.202545459445522,"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."}}