{"id":"W1970657378","doi":"10.5151/despro-sigradi2013-0078","title":"Fibre Configurations for Moisture Control: A Vernacular Framework","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Workflow; Moisture; Vernacular; Scalar (mathematics); Vernacular architecture; Computer science; Architectural engineering; Textile; Architecture; Weaving; Mechanical engineering; Materials science; Engineering; Composite material; Mathematics; Visual arts","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":[0.0005701241,0.0004927898,0.0002831654,0.0005051816,0.001176029,0.002842591,0.001374983,0.0008826762,0.00638951],"category_scores_gemma":[0.001120875,0.0003204708,0.0004430119,0.0002660598,0.006269706,0.004276493,0.00179682,0.001074017,0.0009073102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007377659,"about_ca_system_score_gemma":0.0004454364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006793322,"about_ca_topic_score_gemma":0.0009534,"domain_scores_codex":[0.9996568,0.0001214208,0.00001114864,0.00008018689,0.00008219548,0.00004814484],"domain_scores_gemma":[0.9996935,0.0001078652,0.00002794019,0.0001074207,0.0000340971,0.00002927288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002162994,0.00001281075,0.0001009047,0.00005158705,0.000003385148,0.00007023886,0.0005416338,0.01465741,0.006598717,0.9664682,0.0002250047,0.01124847],"study_design_scores_gemma":[0.00001783041,0.00008101098,0.0002318567,0.0000796831,0.000009304511,0.0001122546,0.0005540041,0.07413311,0.006420367,0.8819192,0.03640106,0.00004028431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07822789,0.0009303861,0.7990138,0.001047322,0.0001524829,0.00008096157,0.00007303945,0.0004399544,0.1200342],"genre_scores_gemma":[0.7588529,0.000933125,0.2285513,0.0001997144,0.00005872186,0.0001267484,0.00006857514,0.000206643,0.01100233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00638951,"threshold_uncertainty_score":0.021375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005121036775134358,"score_gpt":0.2040233269823906,"score_spread":0.1989022902072562,"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."}}