{"id":"W4372299183","doi":"10.2140/jomms.2023.18.293","title":"Analytical estimation of cohesive parameters for a bilinear traction-separation law in DCB mode I loading","year":2023,"lang":"en","type":"article","venue":"Journal of mechanics of materials and structures","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Bilinear interpolation; Traction (geology); Materials science; Separation (statistics); Mode (computer interface); Law; Structural engineering; Mathematics; Engineering; Computer science; Mechanical engineering; Political science; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003594146,0.00008883707,0.0003584219,0.0001675648,0.000016067,0.00002247988,0.00007406426,0.00008897138,0.000009510547],"category_scores_gemma":[0.0001011786,0.00007614966,0.00005763144,0.00009040844,0.0000112084,0.0001356181,0.00001040765,0.00006359186,1.806895e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001989757,"about_ca_system_score_gemma":0.00001110146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001206447,"about_ca_topic_score_gemma":0.000004868451,"domain_scores_codex":[0.9990381,0.00002813126,0.0006089784,0.00006452276,0.0001621506,0.00009814565],"domain_scores_gemma":[0.9994205,0.0001717573,0.0002227491,0.00006532426,0.0000812301,0.00003844859],"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":[0.0001387469,0.000008494385,0.000004556322,0.0001630989,0.00002930671,0.0000019925,0.00009051328,0.1591042,0.8149111,0.02507966,0.00002038553,0.0004479619],"study_design_scores_gemma":[0.0003563281,0.0001546939,0.0001379795,0.00006411416,0.00004743355,0.00001059504,0.00003667409,0.2447864,0.7182376,0.03610838,0.00000337287,0.00005642949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859173,0.00003732663,0.01353238,0.00002709814,0.0002998892,0.0001331711,0.00003848608,0.00001142559,0.000002930875],"genre_scores_gemma":[0.9903895,0.00005100529,0.00950575,0.000004244774,0.00002749037,0.000002711025,0.000006807282,0.00001190012,6.092765e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09667355,"threshold_uncertainty_score":0.3105293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387162539477748,"score_gpt":0.3048250301515707,"score_spread":0.2809534047567932,"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."}}