{"id":"W2954133749","doi":"10.1016/j.ijfatigue.2019.06.037","title":"Fatigue properties of Galfenol steels","year":2019,"lang":"en","type":"article","venue":"International Journal of Fatigue","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Rod; Porosity; Amplitude; Metallurgy; Composite material; Standard deviation; Macropore; Structural engineering; Engineering; Optics; Mathematics","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":[0.000351243,0.0002481399,0.0002354858,0.000829641,0.0002637254,0.0002369328,0.0003893456,0.0005939733,0.003017564],"category_scores_gemma":[0.0005776968,0.0001287487,0.0002022019,0.0003453824,0.0003442435,0.0002676739,0.0001764823,0.000201298,0.0006084979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003491188,"about_ca_system_score_gemma":0.0001523802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002761235,"about_ca_topic_score_gemma":0.002863942,"domain_scores_codex":[0.9998228,0.00002185485,0.00000980193,0.00002599184,0.00007194965,0.00004768165],"domain_scores_gemma":[0.9995109,0.0001001703,0.00006064582,0.00003032625,0.0002584072,0.00003955055],"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":[0.001058038,0.00005573424,0.008014009,0.0001239267,0.00003337891,0.0002820537,0.0003126749,0.005803655,0.9723313,0.0003658434,0.000428983,0.01119036],"study_design_scores_gemma":[0.00005711479,0.002988926,0.1906255,0.00004875666,0.00005791317,0.000436935,0.0006138528,0.01915561,0.7787483,0.0003397581,0.00687312,0.00005420138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997788,0.0004372068,0.0004107797,0.00002898819,0.000005987223,0.00000447351,0.0001282684,0.0000178462,0.00117854],"genre_scores_gemma":[0.9977103,0.00009461015,0.0001757311,0.00001626938,0.000002817319,0.000002610723,0.0002619235,0.000006942561,0.001728571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003017564,"threshold_uncertainty_score":0.01009482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763720168182284,"score_gpt":0.2375290984098637,"score_spread":0.2098918967280408,"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."}}