{"id":"W2783283927","doi":"10.3390/met8010048","title":"Microstructure and Tensile-Shear Properties of Resistance Spot-Welded Medium Mn Steel","year":2018,"lang":"en","type":"article","venue":"Metals","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Austenite; Microstructure; Martensite; Spot welding; Metallurgy; Lath; Welding; Base metal; Ultimate tensile strength; Ferrite (magnet); Indentation hardness; Volume fraction; Heat-affected zone; Composite material","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":[0.0001182353,0.0001157291,0.0002760524,0.00006271275,0.00004031745,0.00001803988,0.0001155949,0.00007008963,0.00003339352],"category_scores_gemma":[0.00005753198,0.0001048883,0.00004813977,0.0001572678,0.0001554631,0.00009807887,0.00004198347,0.00008329816,0.000004440707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001936675,"about_ca_system_score_gemma":0.000005292711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001161086,"about_ca_topic_score_gemma":0.0000686846,"domain_scores_codex":[0.9993378,0.00001489701,0.0002140515,0.0001542163,0.00011903,0.0001600024],"domain_scores_gemma":[0.9995499,0.00001191569,0.00004435223,0.0002701195,0.00008520476,0.000038496],"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":[0.00001920744,0.000004173331,0.00005304146,0.0001530547,0.00009002455,0.000002495136,0.0002564827,0.0002910176,0.9959953,0.00005420885,0.002416404,0.0006646217],"study_design_scores_gemma":[0.00009679364,0.0000202367,0.0004416305,0.00009118539,0.0000588937,0.000005810936,0.00004324269,0.001143773,0.9809059,0.0004107436,0.01663683,0.0001449795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856458,0.00368795,0.00952075,0.0001208329,0.00009772806,0.0001610726,0.00002777627,0.0003263087,0.0004117416],"genre_scores_gemma":[0.9631032,0.0001284296,0.03594105,0.00003212822,0.0000737258,0.000007589385,0.000002455275,0.00002924711,0.0006821234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0264203,"threshold_uncertainty_score":0.4277219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378464693999812,"score_gpt":0.2245758440310043,"score_spread":0.2107911970910062,"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."}}