{"id":"W4304183975","doi":"10.1080/20511787.2022.2067385","title":"Quilting Space: Experimental Form-Finding with Knitted Fabrics","year":2022,"lang":"en","type":"article","venue":"Journal of Textile Design Research and Practice","topic":"Architecture and Computational Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Process (computing); Textile; Architectural engineering; Quilting; Architecture; Set (abstract data type); Engineering; Computer science; Space (punctuation); Exploit; Engineering drawing; Construction engineering; Mechanical engineering; Visual arts; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002939986,0.00009975346,0.0001420123,0.0003265812,0.000457186,0.0001087647,0.000187759,0.00002404867,0.0001381705],"category_scores_gemma":[0.0004109914,0.00008407485,0.00002933188,0.0004459847,0.00004900192,0.0004764055,0.00008439997,0.0009592133,0.000005180852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312145,"about_ca_system_score_gemma":0.000134246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006300259,"about_ca_topic_score_gemma":2.808904e-7,"domain_scores_codex":[0.9979038,0.0005691059,0.0002254422,0.0001009114,0.0009089722,0.0002918104],"domain_scores_gemma":[0.9961706,0.003266721,0.0001109872,0.0000838316,0.000226648,0.0001412155],"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":[0.008085308,0.0006694381,0.0001802186,0.0001436342,0.0007818927,0.002900399,0.01558096,0.7256717,0.1404715,0.002377327,0.04659184,0.05654578],"study_design_scores_gemma":[0.009254596,0.03337513,0.001500231,0.0003612783,0.0002508551,0.05441198,0.09991176,0.3688716,0.06197733,0.01456866,0.3535751,0.00194155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3604571,0.009584363,0.6029767,0.002482013,0.000393968,0.000890963,0.00001119955,0.0001204407,0.02308333],"genre_scores_gemma":[0.9751493,0.000067211,0.02439504,0.00005927315,0.0001307813,0.00001576026,0.000001170161,0.0000257682,0.0001557058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6146922,"threshold_uncertainty_score":0.4167358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09423975048812683,"score_gpt":0.357611257971041,"score_spread":0.2633715074829142,"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."}}