{"id":"W7038614315","doi":"","title":"Inspection &amp; modelling of cusp geometry in additive manufacturing to predict product???s surface roughness","year":2015,"lang":"en","type":"dissertation","venue":"e-scholar@UOIT (University of Ontario Institute of Technology)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"TSG101; Point (geometry); Process (computing); Windage; Filter (signal processing)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004134412,0.0003047558,0.0006987464,0.001299804,0.0002668844,0.00001473911,0.0008756412,0.0006010426,0.0006428384],"category_scores_gemma":[0.0000528728,0.0003883184,0.0001441018,0.0008996493,0.000188775,0.0011417,0.00008532674,0.001190452,0.00006762852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392374,"about_ca_system_score_gemma":0.0006842606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1504336,"about_ca_topic_score_gemma":0.5238746,"domain_scores_codex":[0.998274,0.00001185741,0.0003490916,0.0006079009,0.0004419421,0.0003152594],"domain_scores_gemma":[0.9986104,0.000004301974,0.0005333942,0.0004570471,0.0002828141,0.0001120079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006961578,0.001006211,0.1923301,0.001808942,0.001512377,0.0004247258,0.03748235,0.2883757,0.0006307318,0.0001250135,0.002916618,0.4664256],"study_design_scores_gemma":[0.00208261,0.0005047486,0.2403412,0.0009968919,0.0003250683,0.00001651541,0.009404154,0.0003675215,0.01042482,0.0006308334,0.7338872,0.00101843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911361,0.0001920647,0.0001114462,0.00003712335,0.0007516062,0.0005238637,0.000462951,0.0000780726,0.006706782],"genre_scores_gemma":[0.8928218,0.00008399149,0.10385,0.000005186252,0.00002355547,2.573092e-7,0.001882797,0.000006987243,0.001325339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7309706,"threshold_uncertainty_score":0.9998569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613997637190029,"score_gpt":0.1984543520332648,"score_spread":0.1623143756613645,"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."}}