{"id":"W4381033753","doi":"10.1016/j.ijfatigue.2023.107775","title":"Effect of laser contour scan parameters on fatigue performance of A20X fabricated by laser powder bed fusion","year":2023,"lang":"en","type":"article","venue":"International Journal of Fatigue","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laser; Materials science; Offset (computer science); Fusion; Laser scanning; Contour line; Composite material; Optics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003109821,0.0001494243,0.0002932803,0.0002365281,0.00001862585,0.00002238115,0.0002880408,0.0000579697,0.0001506182],"category_scores_gemma":[0.0001261868,0.0001164811,0.0000941868,0.0001177368,0.00004154834,0.0001607257,0.00002877698,0.0001293086,0.00001034246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000466602,"about_ca_system_score_gemma":0.00001656907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001827636,"about_ca_topic_score_gemma":8.806153e-7,"domain_scores_codex":[0.9988164,0.00005332379,0.0004740182,0.00008598252,0.0004402799,0.0001300216],"domain_scores_gemma":[0.9990143,0.0003159226,0.0003020613,0.0000801651,0.0002354656,0.00005204327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003269349,0.0002559312,0.01932139,0.001370088,0.001878925,0.0001145716,0.0009661781,0.4405819,0.4121827,0.00003583426,0.05025177,0.0697714],"study_design_scores_gemma":[0.0008545914,0.0005409741,0.004812514,0.000433687,0.00002219499,0.000008023957,0.00002045276,0.001580187,0.9911503,0.00002047625,0.0004478688,0.0001087578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982651,0.0000396958,0.0002473319,0.00009099388,0.0007697492,0.00007856675,0.0001301378,0.00003261794,0.0003458186],"genre_scores_gemma":[0.999535,0.000169586,0.00006507977,0.00002210768,0.00008587658,0.00000417021,0.00004881299,0.00002182179,0.00004758607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5789676,"threshold_uncertainty_score":0.4749963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634742674664773,"score_gpt":0.2672786387307953,"score_spread":0.2509312119841475,"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."}}