{"id":"W2320996326","doi":"10.15407/tpwj2014.09.06","title":"Automatic machine for wet underwater welding in confined spaces","year":2014,"lang":"en","type":"article","venue":"The Paton Welding Journal","topic":"Industrial Engineering and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Greenfield Research (Canada)","funders":"","keywords":"Underwater; Materials science; Welding; Mechanical engineering; Marine engineering; Metallurgy; Engineering; Oceanography; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008492402,0.0001560751,0.0002098346,0.0001861813,0.0001415148,0.0001237467,0.0002607035,0.0001154748,0.00004567927],"category_scores_gemma":[0.0001800857,0.0001064299,0.00006769389,0.000136133,0.00002692999,0.0000775358,0.0000248532,0.0005215061,0.000009091264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007209367,"about_ca_system_score_gemma":0.00000946953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001124863,"about_ca_topic_score_gemma":0.00000894527,"domain_scores_codex":[0.9991533,0.00003036243,0.0002721921,0.00008323483,0.0001109321,0.0003499429],"domain_scores_gemma":[0.9995117,0.0002254471,0.0000490128,0.0001552209,0.00001727751,0.00004135754],"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":[0.00002685686,0.00002462051,0.001159495,0.0001782311,0.0001528502,0.00001360829,0.001016306,0.9108575,0.00886462,0.005707923,0.002703651,0.06929435],"study_design_scores_gemma":[0.001033276,0.00007659179,0.000246708,0.0002251036,0.00002574664,0.00009850244,0.0002078378,0.9583653,0.02533161,0.005503498,0.008637527,0.0002482818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135059,0.0002488697,0.0816621,0.001756611,0.00108748,0.0001926056,0.000003313829,0.0006574484,0.0008857508],"genre_scores_gemma":[0.9975953,0.00004171652,0.002012484,0.00002273577,0.0002236752,0.00001363881,0.000001223431,0.00003453234,0.00005469162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08408947,"threshold_uncertainty_score":0.4340085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622412653132683,"score_gpt":0.2181974049594954,"score_spread":0.2019732784281686,"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."}}