{"id":"W2968545708","doi":"10.1007/s00707-019-02474-z","title":"Fractional single-phase lag heat conduction and transient thermal fracture in cracked viscoelastic materials","year":2019,"lang":"en","type":"article","venue":"Acta Mechanica","topic":"Thermoelastic and Magnetoelastic Phenomena","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Thermal conduction; Viscoelasticity; Laplace transform; Materials science; Transient (computer programming); Mechanics; Thermal shock; Solid mechanics; Heat equation; Partial differential equation; Relativistic heat conduction; Fracture (geology); Integral transform; Thermodynamics; Heat transfer; Physics; Mathematics; Heat flux; Mathematical analysis; Composite material; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001081108,0.0002089508,0.0002620865,0.00009357805,0.00003269187,0.00004609746,0.00009035918,0.0001361625,0.002356911],"category_scores_gemma":[0.00002264108,0.000195234,0.00002900201,0.00008990632,0.00002031974,0.0002871212,0.00002105073,0.0001966718,0.00008662319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007434483,"about_ca_system_score_gemma":0.00001841805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001523426,"about_ca_topic_score_gemma":0.000006710794,"domain_scores_codex":[0.9990103,0.00003533201,0.0002662697,0.0002467518,0.0001527876,0.0002885234],"domain_scores_gemma":[0.9995613,0.0001264309,0.00002865211,0.0001746844,0.00001785642,0.00009111121],"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":[0.0001198913,0.000101388,0.000003886934,0.00005223235,0.00002950622,0.000005343849,0.0002806716,0.002253305,0.9959986,0.0003533745,0.0001434574,0.0006584044],"study_design_scores_gemma":[0.0311015,0.004788433,0.01339047,0.0009617087,0.0005566992,0.0004480677,0.002276892,0.1118966,0.749194,0.006655645,0.07440028,0.004329709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878969,0.000096309,0.009349191,0.0001627589,0.001106501,0.0002843359,0.00003179226,0.0001383961,0.0009338634],"genre_scores_gemma":[0.9994032,0.00001851361,0.0001706339,0.00010715,0.0001337891,0.0000216596,0.00003014371,0.00004338492,0.00007157358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2468046,"threshold_uncertainty_score":0.9985551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008563212577801425,"score_gpt":0.2066708117859513,"score_spread":0.1981075992081498,"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."}}