{"id":"W4399983091","doi":"10.1016/j.tafmec.2024.104552","title":"Solutions of crack constraint parameter in 3D models − I: Through curve shape similarity","year":2024,"lang":"en","type":"article","venue":"Theoretical and Applied Fracture Mechanics","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Constraint (computer-aided design); Similarity (geometry); Estimation theory; Fracture (geology); Mathematics; Applied mathematics; Mathematical optimization; Fracture mechanics; Computer science; Algorithm; Structural engineering; Geometry; Engineering; Artificial intelligence; Geotechnical engineering","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":[0.0006238853,0.0004917575,0.0005355666,0.001004736,0.0005890229,0.001146103,0.001078235,0.002231133,0.004420495],"category_scores_gemma":[0.004117827,0.0004987099,0.0008615527,0.0005648712,0.0009476041,0.001863753,0.001690692,0.0009899051,0.0005051047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006337439,"about_ca_system_score_gemma":0.0007582996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002972802,"about_ca_topic_score_gemma":0.002291766,"domain_scores_codex":[0.9998243,0.00005946408,0.00001074989,0.00003288168,0.00005429919,0.00001821155],"domain_scores_gemma":[0.9993688,0.0002476164,0.00009164689,0.0001127763,0.0001289585,0.00005030444],"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":[0.0000517545,0.0000819964,0.0008914596,0.0001711165,0.00002912263,0.0001453394,0.0002841578,0.4977653,0.00454966,0.44728,0.002840949,0.0459091],"study_design_scores_gemma":[0.000005338572,0.000008567704,0.00009663519,0.00001123394,0.00000331024,0.00002844095,0.00003474341,0.9460195,0.0003312299,0.05239534,0.001057817,0.000007723655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08657949,0.0004297457,0.8854746,0.0007101317,0.0001130893,0.0001399485,0.0001930593,0.0002752008,0.02608468],"genre_scores_gemma":[0.8274412,0.0005686361,0.1534746,0.0003313933,0.0001177056,0.0001765787,0.0002378003,0.0005071135,0.01714494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004420495,"threshold_uncertainty_score":0.01478803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668477058591651,"score_gpt":0.225497939123516,"score_spread":0.2088131685375995,"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."}}