{"id":"W2093484372","doi":"10.1016/j.ijfatigue.2008.08.011","title":"Prediction of fatigue resistance of short-fibre-reinforced polymers","year":2008,"lang":"en","type":"article","venue":"International Journal of Fatigue","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Polycarbonate; Bending; Structural engineering; Residual stress; Stress (linguistics); Engineering","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":[0.0004145164,0.0006649481,0.0004025618,0.000588438,0.000207874,0.0002847972,0.0004154071,0.0008868994,0.0006929213],"category_scores_gemma":[0.001531782,0.0003504097,0.0003945439,0.0001567439,0.0002259508,0.0003882944,0.0001426443,0.0003177571,0.0002434869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778994,"about_ca_system_score_gemma":0.0002546859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004569889,"about_ca_topic_score_gemma":0.003068762,"domain_scores_codex":[0.9999076,0.00001943514,0.000004675782,0.00002753107,0.00002610221,0.00001464965],"domain_scores_gemma":[0.9989624,0.0007223055,0.0001006511,0.00004794536,0.0001310786,0.00003556743],"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":[0.0001866839,0.0001197201,0.01001467,0.00004440139,0.00002655498,0.00009513053,0.00002687693,0.9266587,0.04504649,0.000242612,0.0001500937,0.01738805],"study_design_scores_gemma":[0.000002663802,0.00005157063,0.001769921,0.000001315213,0.000003648306,0.000009104501,0.000001690682,0.9933507,0.004736401,0.00004608099,0.00002391109,0.00000288997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698284,0.000207055,0.0289065,0.00003371352,0.00001199552,0.00002014121,0.00006619787,0.0002245679,0.0007014744],"genre_scores_gemma":[0.9969734,0.00005350059,0.002494341,0.000002678041,0.000004560944,0.000008255173,0.00005474342,0.00001460899,0.0003940218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004569889,"threshold_uncertainty_score":0.009086549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04902251337166996,"score_gpt":0.2741313358137616,"score_spread":0.2251088224420917,"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."}}