{"id":"W3172924222","doi":"10.22215/etd/2014-10537","title":"(In)forming Material: The Generative Potential of Plywood","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Material efficiency; Material Design; Engineering; Fabrication; Space (punctuation); Generative grammar; Construction engineering; Architectural engineering; Mechanical engineering; Systems engineering; Computer science; Manufacturing engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003096729,0.000203211,0.0001112059,0.0003142327,0.001005537,0.003437308,0.0003939143,0.0005966398,0.01188828],"category_scores_gemma":[0.0007419636,0.0001881791,0.0002001235,0.0003081535,0.00341421,0.002682738,0.001043011,0.001318896,0.001454176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00045427,"about_ca_system_score_gemma":0.0002495271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005150216,"about_ca_topic_score_gemma":0.0007794017,"domain_scores_codex":[0.9998999,0.00002274242,0.000002743423,0.00003041079,0.0000325333,0.000011748],"domain_scores_gemma":[0.9998662,0.00006199659,0.000008337189,0.00003341363,0.00001505253,0.00001495637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009280065,0.000002992219,0.00007925984,0.00002954654,0.000001448064,0.00005910686,0.0006058554,0.0006382592,0.001526832,0.9800503,0.001904475,0.01509262],"study_design_scores_gemma":[0.000008125295,0.00002336186,0.00036329,0.00005765162,0.000006221022,0.0003981082,0.0003797825,0.002590311,0.006213207,0.8192512,0.1706953,0.00001353018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06793557,0.007401526,0.1587151,0.006651131,0.001184608,0.0000359646,0.000191702,0.0003319493,0.7575524],"genre_scores_gemma":[0.779766,0.004348546,0.03379873,0.0008215765,0.0004694547,0.00005228374,0.0001460329,0.0004614101,0.1801359],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01188828,"threshold_uncertainty_score":0.03977019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003820493529013613,"score_gpt":0.2015635151758703,"score_spread":0.1977430216468567,"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."}}