{"id":"W2001246894","doi":"10.1139/l02-044","title":"Evaluation of flexural fracture toughness for quasi-brittle structural materials using a simple test method","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calgary","keywords":"Fracture mechanics; Fracture toughness; Materials science; Flexural strength; Brittleness; Structural engineering; Masonry; Fracture (geology); Mortar; Toughness; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343772,0.0007201332,0.0004467578,0.001777104,0.0003364072,0.0002177293,0.0008981114,0.0007707811,0.00252137],"category_scores_gemma":[0.00279029,0.0003193046,0.0003262093,0.0007801861,0.0006480983,0.0006019311,0.0006074141,0.0004390881,0.0004212188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003047518,"about_ca_system_score_gemma":0.0003158995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193419,"about_ca_topic_score_gemma":0.00356962,"domain_scores_codex":[0.9985211,0.0001672237,0.00008356603,0.0001800105,0.000979325,0.00006875122],"domain_scores_gemma":[0.9974063,0.001293082,0.000292891,0.0002919337,0.0006146742,0.0001011057],"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":[0.00007767021,0.00009077605,0.003023278,0.0001702499,0.00001324604,0.00008582693,0.00009146037,0.002284948,0.9771711,0.0003140862,0.00003694846,0.01664039],"study_design_scores_gemma":[0.00002879302,0.002745745,0.04759966,0.00002864244,0.00003672281,0.00106066,0.000144549,0.05937658,0.886852,0.0006606429,0.001384044,0.0000821093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6049649,0.0007263376,0.3914198,0.00003560742,0.00003212692,0.0003659333,0.0004504173,0.0003688701,0.00163608],"genre_scores_gemma":[0.8506711,0.000502946,0.1464116,0.00002633803,0.000009636611,0.0004091629,0.0003005875,0.00005394832,0.00161472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00252137,"threshold_uncertainty_score":0.008434832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03813645883117424,"score_gpt":0.2691665395309449,"score_spread":0.2310300806997707,"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."}}