{"id":"W4236578302","doi":"10.32920/ryerson.14663283","title":"Wood: Embedded Responsiveness","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":"University of Minnesota","keywords":"Architecture; Performative utterance; Context (archaeology); Architectural engineering; Focus (optics); Aesthetics; Materiality (auditing); Engineering; Art; Visual arts; History; Archaeology","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":[0.00004891853,0.0001510571,0.0001690105,0.00007134522,0.00001901903,0.00005052409,0.0001421498,0.0001355829,0.0002697338],"category_scores_gemma":[0.00001253288,0.0001504294,0.00008597373,0.00006491507,0.000008495869,0.00001654195,0.0001595544,0.0003163012,0.00004151531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002731189,"about_ca_system_score_gemma":0.00007486024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005182329,"about_ca_topic_score_gemma":0.000008287465,"domain_scores_codex":[0.9994155,0.00003553282,0.0001291641,0.0001766786,0.0001269498,0.0001161497],"domain_scores_gemma":[0.9995754,0.00008461407,0.00001174046,0.0002362659,0.00005028901,0.00004162703],"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":[0.000005827467,0.000005705139,0.000003798101,0.0001201949,0.00008329504,0.00004885995,0.0003683464,0.9879879,0.000843755,0.0004129958,0.002272205,0.007847165],"study_design_scores_gemma":[0.0007349748,0.00006209925,0.008807442,0.0008520188,0.0001779001,0.0001303201,0.00072219,0.821757,0.05830947,0.08640523,0.01897983,0.00306157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1614479,0.00108871,0.7908303,0.00009488914,0.001074799,0.0001635474,0.000009153854,0.000705793,0.04458484],"genre_scores_gemma":[0.9791287,0.00003153067,0.01948597,0.000140999,0.0001687851,0.00003532537,0.00009497516,0.00003736418,0.0008763334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8176808,"threshold_uncertainty_score":0.6134335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269268081224828,"score_gpt":0.2284907585461759,"score_spread":0.2157980777339276,"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."}}