{"id":"W2896388882","doi":"10.2351/1.5059800","title":"Hybrid welding of galvanized steel sheet","year":2001,"lang":"en","type":"article","venue":"","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation","funders":"","keywords":"Galvanization; Welding; Materials science; Metallurgy; Composite material; Layer (electronics)","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":[0.00004741881,0.00007495051,0.0001159679,0.0000466225,0.00001733243,0.00001004174,0.0001012647,0.00002906601,0.0005185098],"category_scores_gemma":[0.00001015135,0.00006179502,0.00003810715,0.00007178428,0.00001332345,0.00004749938,0.0000230572,0.00005624712,0.00001051843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001133933,"about_ca_system_score_gemma":0.000002633911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000335574,"about_ca_topic_score_gemma":0.000003009951,"domain_scores_codex":[0.999581,0.00000440311,0.0001332779,0.00006692091,0.00008060413,0.0001338414],"domain_scores_gemma":[0.9997887,0.0000246463,0.00001248852,0.0001264338,0.00001594623,0.000031806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001029991,0.0002710759,0.01858325,0.0009457934,0.000420738,0.0002947939,0.0003106073,0.2017719,0.2161869,0.01440957,0.4942867,0.05241577],"study_design_scores_gemma":[0.0002621731,0.00004050462,0.001533821,0.00006884198,0.00001218185,0.00002933107,0.00002951359,0.004779972,0.9489346,0.001062763,0.043031,0.0002153447],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8451413,0.0002893394,0.01711422,0.00005840438,0.0001262124,0.00008425257,0.000003354718,0.0009052459,0.1362777],"genre_scores_gemma":[0.9938474,0.000421241,0.005155455,0.00001416733,0.00004476263,0.000003499761,0.00000168981,0.00001682867,0.0004950102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7327477,"threshold_uncertainty_score":0.5677319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099125236490259,"score_gpt":0.2210965222810114,"score_spread":0.2101052699161088,"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."}}