{"id":"W2915640580","doi":"10.15376/biores.14.1.1364-1378","title":"Assessing the complexity of timber gridshells in architecture through shape, structure, and material classification","year":2019,"lang":"en","type":"article","venue":"BioResources","topic":"Architecture and Computational Design","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Architecture; Materiality (auditing); Architectural engineering; Computer science; Context (archaeology); Overconsumption; Grid; Construction engineering; Systems engineering; Engineering; Aesthetics; Geology; Geometry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009018707,0.0004478703,0.0002967773,0.001907095,0.0004915307,0.002594707,0.0003766521,0.0005459082,0.002456268],"category_scores_gemma":[0.002701183,0.0003908307,0.0004257488,0.001068961,0.001277384,0.001535952,0.001243595,0.000432742,0.0004372342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006222655,"about_ca_system_score_gemma":0.0004965272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003065695,"about_ca_topic_score_gemma":0.005924304,"domain_scores_codex":[0.9993788,0.0001355188,0.00004813131,0.000108349,0.0002702064,0.00005897644],"domain_scores_gemma":[0.9985188,0.0007636113,0.0002309689,0.0001897626,0.000221962,0.00007499693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000757647,0.0002118361,0.3037556,0.001078635,0.0001751808,0.000828094,0.004273488,0.3210297,0.1300185,0.07477409,0.002192107,0.1609051],"study_design_scores_gemma":[0.00002427791,0.0002523479,0.2226213,0.0002623217,0.0001255678,0.0009709753,0.002660715,0.6681309,0.03658364,0.04726816,0.02092586,0.0001738558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047906,0.0005392887,0.07708803,0.0001105298,0.00001359936,0.00009460752,0.0005126211,0.0002130034,0.01663768],"genre_scores_gemma":[0.9570244,0.000307356,0.04051279,0.00002020743,0.00000490277,0.00004701731,0.0005728364,0.00008970455,0.001420669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003065695,"threshold_uncertainty_score":0.008217096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03030441202155017,"score_gpt":0.2518686943861566,"score_spread":0.2215642823646064,"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."}}