{"id":"W2083075175","doi":"10.1115/1.1651091","title":"Fracture of Brittle Microbeams","year":2004,"lang":"en","type":"article","venue":"Journal of Applied Mechanics","topic":"Composite Material Mechanics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Randomness; Bernoulli's principle; Fracture mechanics; Fracture (geology); Mechanics; Elastic energy; Stability (learning theory); Scaling; Brittleness; Euler's formula; Fracture toughness; Mathematics; Materials science; Classical mechanics; Statistical physics; Mathematical analysis; Physics; Geometry; Composite material; Computer science; Thermodynamics","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":[0.0001661185,0.0001328268,0.0003057513,0.0001100641,0.00001715163,0.0000181627,0.0002359639,0.0001162823,0.00004523808],"category_scores_gemma":[0.000006697732,0.0001271127,0.0000946474,0.000134976,0.000004942706,0.00005928504,0.0000319482,0.0002400266,0.00001253845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009725,"about_ca_system_score_gemma":0.00003270052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000170753,"about_ca_topic_score_gemma":0.000001321972,"domain_scores_codex":[0.9991168,0.000003599287,0.0004450301,0.00006520513,0.0002091871,0.0001602268],"domain_scores_gemma":[0.9994787,0.00001480982,0.000186937,0.0001615786,0.00008078608,0.00007718351],"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":[0.00004714246,0.00003739469,9.070668e-8,0.00006949558,0.00005130658,0.00001153046,0.0002040582,0.06364394,0.9184474,0.01571494,0.0001902569,0.001582386],"study_design_scores_gemma":[0.0008077451,0.000104711,0.000002345387,0.00006652383,0.0000443561,0.00009547267,0.00006962322,0.0007615059,0.9541418,0.03796478,0.005804691,0.0001364529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4659604,0.0005568559,0.5294496,0.0001119679,0.002182178,0.0002210502,0.00001438299,0.0001013674,0.001402155],"genre_scores_gemma":[0.9793161,0.00008257319,0.02029376,0.00007339344,0.0001897378,9.489161e-7,0.000001275911,0.0000397621,0.000002486264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5133557,"threshold_uncertainty_score":0.5183506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003171544106997259,"score_gpt":0.1704645881780635,"score_spread":0.1672930440710662,"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."}}