{"id":"W4389634816","doi":"10.35483/acsa.aia.inter.21.9","title":"Local Timber to Support Community Growth","year":2021,"lang":"en","type":"article","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Workflow; Prosperity; Flexibility (engineering); Computer science; Architectural engineering; Engineering","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":[0.00003989325,0.00004684903,0.00005044885,0.00001743254,0.00003655676,0.000008967178,0.00005712275,0.00001747767,0.0005918597],"category_scores_gemma":[0.000006553022,0.00004471642,0.00002017661,0.00009470594,0.000006520293,0.00001841146,0.00003227073,0.0001111401,0.0004558947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001276431,"about_ca_system_score_gemma":0.00001413094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001431572,"about_ca_topic_score_gemma":0.00005006268,"domain_scores_codex":[0.9997357,0.00002364142,0.00005705377,0.00003835007,0.00006341607,0.00008179659],"domain_scores_gemma":[0.9997715,0.00005167218,0.000001617405,0.00009117468,0.00003079883,0.00005318807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000777877,0.00007035374,0.000355018,0.00006371475,0.00007957796,0.00009229653,0.001599342,0.7349542,0.002380864,0.01691492,0.1939793,0.04950266],"study_design_scores_gemma":[0.00140771,0.0006250976,0.07437688,0.00006602296,0.00007109177,0.0005986486,0.001593386,0.2588767,0.2944557,0.1187605,0.2470859,0.002082389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02971418,0.000007631414,0.8190443,0.0001501877,0.00005568958,0.00002219466,0.000001505798,0.000145618,0.1508587],"genre_scores_gemma":[0.9888791,6.839898e-7,0.009015399,0.0009767364,0.00002142916,0.000003195267,0.00001496602,0.000008938823,0.001079592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9591649,"threshold_uncertainty_score":0.6480449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318226786042542,"score_gpt":0.2177536923286836,"score_spread":0.2045714244682581,"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."}}