{"id":"W3011119219","doi":"10.5220/0008988103890397","title":"ValidNet: A Deep Learning Network for Validation of Surface Registration","year":2020,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Deep learning; 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":[0.002262609,0.002223585,0.001183672,0.001581742,0.0007297293,0.001644882,0.003400676,0.002874728,0.00823683],"category_scores_gemma":[0.005778474,0.0009066763,0.001169114,0.00104228,0.001038527,0.001809012,0.002077288,0.002618535,0.003778765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421151,"about_ca_system_score_gemma":0.001957198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01438775,"about_ca_topic_score_gemma":0.0194071,"domain_scores_codex":[0.9989942,0.000210126,0.00005511121,0.0003448674,0.0002706699,0.000124966],"domain_scores_gemma":[0.9983172,0.0005631226,0.0001380498,0.0004323822,0.000470844,0.00007848153],"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":[0.0009688353,0.0004512391,0.006065233,0.0004746678,0.0003946504,0.0002526387,0.00008410514,0.4758204,0.01593927,0.008442808,0.04585443,0.4452518],"study_design_scores_gemma":[0.00001939526,0.00006616238,0.0004145289,0.00002517811,0.00001352811,0.00003646739,0.00001433963,0.9888525,0.006213203,0.002098332,0.002233993,0.00001241922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1368401,0.001936249,0.8084596,0.0009384856,0.000850498,0.0002732069,0.006184933,0.03541886,0.009098158],"genre_scores_gemma":[0.6842712,0.0005878761,0.273151,0.0006605075,0.0001269766,0.0003087452,0.02158094,0.002513217,0.0167996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01438775,"threshold_uncertainty_score":0.02860802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702191243878718,"score_gpt":0.2130100647467913,"score_spread":0.1959881523080041,"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."}}