{"id":"W2083055703","doi":"10.1108/02644400810899933","title":"Computational study on a damage‐coupled model for crystalline polyethylene","year":2008,"lang":"en","type":"article","venue":"Engineering Computations","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Isotropy; Materials science; Orthorhombic crystal system; Crystal structure; Slip (aerodynamics); Mechanics; Composite material; Structural engineering; Crystallography; Thermodynamics; Physics; Engineering; Optics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005603947,0.0004505614,0.0007786842,0.000448787,0.0006233566,0.0009245556,0.001197069,0.001537209,0.002837817],"category_scores_gemma":[0.002110298,0.0004174819,0.0007022434,0.0004275153,0.0008554278,0.0006071976,0.0009833323,0.0008266739,0.0002237745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008558016,"about_ca_system_score_gemma":0.001371798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436709,"about_ca_topic_score_gemma":0.007861082,"domain_scores_codex":[0.9998356,0.00004421013,0.000007996765,0.0000300578,0.00005399647,0.00002810551],"domain_scores_gemma":[0.9991508,0.0005325658,0.00009653523,0.00005279453,0.0001154196,0.00005197544],"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":[0.00001022564,0.00001682313,0.0002818941,0.00001224327,0.000003937485,0.00003637751,0.00001320374,0.9965934,0.0002810167,0.001937727,0.00005878908,0.0007544234],"study_design_scores_gemma":[0.000002513437,0.000004191134,0.00002972871,8.429011e-7,7.141407e-7,0.000002886095,0.000003066793,0.9996431,0.00004338743,0.0002239052,0.00004494491,7.284648e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4816618,0.000265156,0.4982605,0.000736365,0.00007279144,0.0002270579,0.0004287685,0.0003416542,0.01800581],"genre_scores_gemma":[0.9127159,0.0001475253,0.07993018,0.0001372573,0.00002748686,0.0002954394,0.0002860767,0.00008692863,0.006373183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01436709,"threshold_uncertainty_score":0.0285669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04218119504971896,"score_gpt":0.2637036649073222,"score_spread":0.2215224698576032,"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."}}