{"id":"W2026448230","doi":"10.1179/136217101101538541","title":"Microresistance spot welding of Kovar, steel, and nickel","year":2001,"lang":"en","type":"article","venue":"Science and Technology of Welding & Joining","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Spot welding; Welding; Materials science; Electric resistance welding; Electrode; Metallurgy; Heat-affected zone; Gas metal arc welding; Nickel; Composite material; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003105818,0.0003191148,0.0004157497,0.0002229278,0.000172026,0.0003304273,0.0003327223,0.0002445035,0.0009472061],"category_scores_gemma":[0.0007498458,0.0003030329,0.0002900878,0.0002038763,0.0002308137,0.0003378944,0.0003577742,0.0001544986,0.0002623159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003108739,"about_ca_system_score_gemma":0.0001411917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007245033,"about_ca_topic_score_gemma":0.001637674,"domain_scores_codex":[0.9997185,0.00003878642,0.00001781619,0.00006073031,0.000117153,0.00004704848],"domain_scores_gemma":[0.9996558,0.0001288732,0.00007411338,0.00003819752,0.00007690127,0.00002615164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007012312,0.000005095407,0.0002123644,0.00007827194,0.000005768167,0.00005788593,0.00006583123,0.0001829898,0.9967229,0.00008923512,0.00002138157,0.002488201],"study_design_scores_gemma":[0.000007564573,0.0003154875,0.003626668,0.000004042307,0.00001187209,0.0001785024,0.00006142753,0.001012531,0.9938445,0.00003693684,0.0008923329,0.000008232225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899465,0.0006875627,0.00772433,0.00002903899,0.00001619338,0.00002354769,0.00003874778,0.00008916933,0.001444933],"genre_scores_gemma":[0.9899485,0.000443231,0.006942923,0.000009033939,0.000004832928,0.00001426969,0.00004144894,0.00003140705,0.002564339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009472061,"threshold_uncertainty_score":0.003168702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007531613797238525,"score_gpt":0.2305422496005341,"score_spread":0.2230106358032956,"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."}}