{"id":"W2903298682","doi":"10.1145/3272127.3275085","title":"Set-in-stone","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Set (abstract data type); Computer science; Topology optimization; Scale (ratio); Mathematical optimization; Structural engineering; Ultimate tensile strength; Mathematics; Finite element method; Materials science; Engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000180394,0.00008906782,0.00008483246,0.0001019764,0.0002148135,0.00002395164,0.0001910398,0.0000690406,0.001759],"category_scores_gemma":[0.00001241866,0.00007212561,0.00005090713,0.0004964772,0.0001224364,0.000118818,4.828644e-7,0.0001906356,0.0005164071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002112152,"about_ca_system_score_gemma":0.00001128112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009969759,"about_ca_topic_score_gemma":0.0268755,"domain_scores_codex":[0.9993079,0.00005494434,0.0001153882,0.0001739037,0.0001443615,0.0002034947],"domain_scores_gemma":[0.9995376,0.0000964217,0.00001668818,0.0002532837,0.00002707881,0.00006888394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003044853,0.0001776155,0.5797998,0.00003748273,0.00008345802,0.00006039272,0.004870495,0.001398034,0.0001769685,0.0004352753,0.001161263,0.4114947],"study_design_scores_gemma":[0.0005056501,0.0005570388,0.9785299,0.00003915109,0.00001616741,0.00002121173,0.0007001329,0.001809364,0.0006401152,0.005945446,0.01086727,0.0003685354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918288,0.0001014401,0.001784706,0.000615857,0.0005355717,0.00008581749,0.00007474254,0.00009332888,0.004879716],"genre_scores_gemma":[0.9986691,0.00007622252,0.0004441231,0.0004538317,0.00004292558,9.758803e-7,0.00001528437,0.00000262438,0.0002948538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4111262,"threshold_uncertainty_score":0.9991536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0387530575595911,"score_gpt":0.2541000575390815,"score_spread":0.2153469999794904,"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."}}