{"id":"W4377249579","doi":"10.1063/5.0113272","title":"Similitude analysis and model fabrication of aeriel hoverboard","year":2023,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Architecture and Computational Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Similitude; Computer science; Fabrication; 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":[0.0002188011,0.0003142456,0.0003510668,0.0002802604,0.0004809019,0.0008798757,0.0007195416,0.0008216133,0.004678721],"category_scores_gemma":[0.0007461946,0.0002917133,0.0003666383,0.0002533227,0.0005179518,0.0005470836,0.0003034093,0.0003715014,0.0004949635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007724819,"about_ca_system_score_gemma":0.0005714358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003739664,"about_ca_topic_score_gemma":0.003204228,"domain_scores_codex":[0.9998505,0.00001895309,0.000006551112,0.00003199336,0.00006606439,0.00002598349],"domain_scores_gemma":[0.9997556,0.00007387808,0.00002561025,0.00007372634,0.00006054745,0.00001070051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009924407,0.00008791698,0.001264234,0.00007864527,0.00001545416,0.0001562849,0.0002378075,0.9046478,0.05430138,0.02305044,0.001102878,0.01495798],"study_design_scores_gemma":[0.000009587963,0.00003445134,0.0004885125,0.000003214783,0.000003338723,0.00002518433,0.00004952342,0.9831887,0.01373501,0.001292526,0.001162599,0.000007326849],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6053865,0.0001633759,0.340161,0.0003776056,0.00008949011,0.0001058614,0.0004150236,0.001618387,0.05168275],"genre_scores_gemma":[0.971582,0.00003670117,0.02419586,0.00001866745,0.000003901266,0.00002423089,0.0001137084,0.0001249771,0.003899991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004678721,"threshold_uncertainty_score":0.01565188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725465975051453,"score_gpt":0.2287515074115166,"score_spread":0.211496847661002,"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."}}