{"id":"W1171328932","doi":"10.71781/10832","title":"Reliable computation for geometric models","year":2008,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computation; Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006047695,0.0001596962,0.0002048,0.0002099981,0.00008560956,0.0001367975,0.0002013881,0.0001839524,0.0001836656],"category_scores_gemma":[0.000009479135,0.0001748037,0.0000413732,0.0001928218,0.000002944488,0.0002671407,0.00001068042,0.00009559604,0.00004901433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004498511,"about_ca_system_score_gemma":0.00003957185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001749178,"about_ca_topic_score_gemma":0.00002312421,"domain_scores_codex":[0.9993277,0.000002471153,0.0002112496,0.0002048565,0.000107804,0.0001459876],"domain_scores_gemma":[0.9996833,0.00002335355,0.00007039487,0.00009919787,0.00008837246,0.00003533877],"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":[0.00001531654,0.000008740829,5.240088e-7,0.0001432023,0.00001872021,5.522035e-7,0.0003153131,0.9123271,0.000005196443,0.00000292347,0.002552239,0.0846102],"study_design_scores_gemma":[0.0004353415,0.00003181486,0.00003966515,0.0001123855,0.00004668876,0.000001533366,0.0001117508,0.964053,0.0087115,0.0003344241,0.02575148,0.0003704508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1183017,0.00220232,0.5187759,0.0000134881,0.002605176,0.003473909,0.0001643217,0.00006228369,0.3544009],"genre_scores_gemma":[0.642687,0.001854613,0.2430748,0.00001575732,0.0003073617,0.0005062977,0.02101332,0.0003099681,0.09023087],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5243853,"threshold_uncertainty_score":0.712829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539656802025443,"score_gpt":0.2757086288587483,"score_spread":0.2403120608384938,"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."}}