{"id":"W4366977832","doi":"10.1016/j.ijadhadh.2023.103364","title":"Are probabilistic methods a way to get rid of fudge factors? Part II: Application and examples","year":2023,"lang":"en","type":"article","venue":"International Journal of Adhesion and Adhesives","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Dimensioning; Probabilistic logic; Presentation (obstetrics); Strength of materials; Variety (cybernetics); Brittleness; Computer science; Stress (linguistics); Diversity (politics); Materials science; Structural engineering; Engineering; Composite material; Artificial intelligence","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":[0.005983769,0.001531337,0.001998162,0.00221074,0.001256881,0.002605072,0.002459968,0.004458123,0.006946673],"category_scores_gemma":[0.03607525,0.001343555,0.001954556,0.002364714,0.004796457,0.00974488,0.003188493,0.004988069,0.001961017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218551,"about_ca_system_score_gemma":0.0008864293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002613263,"about_ca_topic_score_gemma":0.002169534,"domain_scores_codex":[0.9962364,0.001839141,0.0001780344,0.0003541908,0.001263465,0.0001287653],"domain_scores_gemma":[0.9760843,0.02024522,0.0004559319,0.001579222,0.001441267,0.0001941116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004829798,0.00007333753,0.0006634595,0.0006475147,0.00007858594,0.0001903643,0.0003081891,0.0532545,0.001203311,0.7887247,0.01160211,0.1432055],"study_design_scores_gemma":[0.00001668709,0.00003054037,0.0002212609,0.000138676,0.00001889096,0.0002529965,0.00004615607,0.1310187,0.0007411824,0.8478656,0.01959926,0.00005004821],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003382119,0.008683987,0.9729251,0.003668863,0.0003690172,0.00002360475,0.00003807043,0.0001965608,0.01071267],"genre_scores_gemma":[0.1897051,0.02666799,0.7542049,0.001683374,0.002760649,0.0002568179,0.0001678437,0.0006990574,0.02385431],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006946673,"threshold_uncertainty_score":0.0316456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04394084362328191,"score_gpt":0.3295422464926293,"score_spread":0.2856014028693474,"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."}}