{"id":"W4412436552","doi":"10.1016/j.prostr.2025.06.025","title":"Fatigue life prediction of ABS/Graphene nanoplatelets 3D-printed composite parts","year":2025,"lang":"en","type":"article","venue":"Procedia Structural Integrity","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Materials science; Composite material; Composite number; Exfoliated graphite nano-platelets; Nanotechnology","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":[0.0001444323,0.0004775918,0.0003746206,0.0003872027,0.0002716255,0.0003281767,0.0005799378,0.001085699,0.001090566],"category_scores_gemma":[0.0004261415,0.0002728759,0.0007442818,0.0001935262,0.0002887286,0.0002491582,0.0002020682,0.0003176777,0.0002011679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006108411,"about_ca_system_score_gemma":0.0005485605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008107519,"about_ca_topic_score_gemma":0.005723418,"domain_scores_codex":[0.9999433,0.000008607196,0.000002796267,0.00001165225,0.00002295241,0.00001071516],"domain_scores_gemma":[0.9998249,0.00008527229,0.0000284078,0.00001460973,0.00003612526,0.00001077274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001014913,0.00001019716,0.0004230692,0.0000121224,0.000005778408,0.0000469263,0.000009115175,0.9945124,0.003295809,0.0001760837,0.00004161239,0.001456701],"study_design_scores_gemma":[8.387814e-7,0.000008047468,0.0001571438,9.892483e-7,0.000001641786,0.000006430875,0.000001509958,0.9990632,0.000681934,0.00003148924,0.00004541193,0.00000144303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089565,0.0003702876,0.1795219,0.0001481261,0.00004051338,0.00008406858,0.0007192479,0.0005079567,0.00965138],"genre_scores_gemma":[0.985884,0.0001218405,0.01198913,0.00001888931,0.000004517643,0.00008599474,0.0001941899,0.00002916391,0.001672459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008107519,"threshold_uncertainty_score":0.01612067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142976342673109,"score_gpt":0.2484778813507383,"score_spread":0.2270481179240073,"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."}}