{"id":"W4382047550","doi":"10.32920/23579814","title":"Furniture Folding Methodology For Reconfigurable Aircraft Cabins","year":2023,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Folding (DSP implementation); Control reconfiguration; Process (computing); Computer science; Visualization; Engineering; Architectural engineering; Systems engineering; Engineering drawing; Mechanical engineering; Embedded system; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003470803,0.0002457334,0.000353814,0.0001777509,0.00005964519,0.00003379073,0.00024035,0.0003468778,0.000100181],"category_scores_gemma":[0.00008526557,0.0002367592,0.0001926061,0.00007853549,0.00001277364,0.00002120496,0.00006962271,0.0004695908,0.00007986059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005384441,"about_ca_system_score_gemma":0.00005233995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003794473,"about_ca_topic_score_gemma":0.00005615111,"domain_scores_codex":[0.9989934,0.00005739005,0.0002550388,0.0003153258,0.00009299257,0.0002858502],"domain_scores_gemma":[0.9986511,0.0009668513,0.00003492216,0.000232322,0.00005501744,0.00005979761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007628667,0.000003319872,0.000006236757,0.0003726227,0.0001971602,0.000004705357,0.0002421113,0.9432143,0.001014087,0.002930479,0.03690267,0.01510469],"study_design_scores_gemma":[0.0003683017,0.00006310185,0.0005245878,0.0001580103,0.0001344639,0.00002123495,0.0001060456,0.3148495,0.009518717,0.6317213,0.04161865,0.0009161438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001004991,0.0003205252,0.9848458,0.0005565374,0.002206613,0.0004933119,0.0000608105,0.001390987,0.00912044],"genre_scores_gemma":[0.1937082,0.0001932296,0.7858707,0.0005293383,0.001707907,0.001059625,0.0006298295,0.0003691106,0.01593203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6287908,"threshold_uncertainty_score":0.9654759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387897927496938,"score_gpt":0.3127166179303645,"score_spread":0.1739268251806708,"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."}}