{"id":"W2370212438","doi":"10.1016/j.scriptamat.2016.04.032","title":"Fusion zone microstructure evolution of fiber laser welded press-hardened steels","year":2016,"lang":"en","type":"article","venue":"Scripta Materialia","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"ArcelorMittal (Canada); University of Waterloo","funders":"","keywords":"Materials science; Nanoindentation; Microstructure; Ferrite (magnet); Transmission electron microscopy; Metallurgy; Martensite; Coating; Welding; Hardening (computing); Composite material; Nanotechnology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007275378,0.0001900308,0.0002571948,0.00005080682,0.00004600441,0.00002669926,0.0001599573,0.0001129445,0.00150195],"category_scores_gemma":[0.00002144168,0.0001352189,0.00005314438,0.00005965263,0.00006418282,0.0001600777,0.00009079176,0.00003964703,0.0002010247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122367,"about_ca_system_score_gemma":0.000008040807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000600156,"about_ca_topic_score_gemma":0.00002249524,"domain_scores_codex":[0.9990385,0.00003733542,0.0002868892,0.000187654,0.0001677915,0.0002818553],"domain_scores_gemma":[0.9995161,0.000002720492,0.0000560062,0.0003094796,0.00006693957,0.00004880204],"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":[0.00005692228,0.000008077259,0.0001642532,0.0001049261,0.00005411686,0.00000278385,0.0001023472,0.00002241233,0.8479819,0.000101725,0.1512982,0.0001022539],"study_design_scores_gemma":[0.0007699305,0.00003424183,0.008892857,0.0001057765,0.00003352711,0.000003635724,0.00001833237,0.000009872676,0.763449,0.0001718752,0.2263079,0.0002030335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676014,0.0004085564,0.0008773496,0.0001272434,0.02836431,0.0003187034,0.0004325783,0.0003917332,0.001478196],"genre_scores_gemma":[0.9623874,0.0000703148,0.0007851833,0.000008339182,0.0002725837,0.00002014511,0.00001087279,0.00004722414,0.03639791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08453292,"threshold_uncertainty_score":0.9994108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007457957601804598,"score_gpt":0.1935205587398508,"score_spread":0.1860626011380462,"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."}}