{"id":"W7139861190","doi":"","title":"Визначення особливості спрямування та розподілу інтерметалевої фази в евтектиці матеріалу зварного шва після електронно-променевого зварювання сплавів титану та ніобію","year":2023,"lang":"en","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Surface Treatment and Coatings","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Microstructure; Welding; Boride; Alloy; Electron beam welding; Heat-affected zone; Scanning electron microscope","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001368934,0.0007866643,0.0008529978,0.0009617732,0.001291492,0.0003286786,0.002029085,0.0003968612,0.002219182],"category_scores_gemma":[0.0003435554,0.0006909028,0.0005079794,0.002542106,0.001557679,0.001227267,0.0007803934,0.0006103437,0.001525878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004909821,"about_ca_system_score_gemma":0.0003611026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003186848,"about_ca_topic_score_gemma":0.0006355281,"domain_scores_codex":[0.9942731,0.0002813124,0.0008303673,0.00111137,0.002304994,0.001198805],"domain_scores_gemma":[0.996789,0.0006692192,0.0003349032,0.000969489,0.0009418559,0.0002955782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002609531,0.002609194,0.01654887,0.001753583,0.004106583,0.001256272,0.07306872,0.09871843,0.09174244,0.3471241,0.3324362,0.02802608],"study_design_scores_gemma":[0.003986397,0.0007553705,0.0184075,0.0002452468,0.0004484459,0.00009679311,0.03467844,0.01815923,0.01573142,0.01360274,0.8913244,0.002564012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548059,0.0007703424,0.0001743417,0.004639645,0.002197654,0.0007714347,0.0006190042,0.001544643,0.03447703],"genre_scores_gemma":[0.8453512,0.0004179334,0.0006353362,0.00007205765,0.0003610812,0.00001357757,0.0006260918,0.00008883069,0.1524339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5588883,"threshold_uncertainty_score":0.9995542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06572707599587377,"score_gpt":0.3066333373537755,"score_spread":0.2409062613579017,"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."}}