{"id":"W2059413245","doi":"10.1007/s00107-003-0418-1","title":"Influence of proof loading on the reliability of members","year":2003,"lang":"de","type":"article","venue":"European Journal of Wood and Wood Products","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proof of concept; Reliability (semiconductor); Context (archaeology); Reliability engineering; Computer science; Residual strength; Structural engineering; Structural reliability; Engineering; Power (physics); Probabilistic logic; Geology","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":[0.001076271,0.000528029,0.0006633786,0.0008294501,0.0008320521,0.0009502952,0.0005856599,0.0009511028,0.007202972],"category_scores_gemma":[0.01201646,0.0003976969,0.0003232488,0.0003455084,0.0009086919,0.0009106251,0.000693347,0.0005672684,0.001756437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814566,"about_ca_system_score_gemma":0.0004829809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001071797,"about_ca_topic_score_gemma":0.0008336707,"domain_scores_codex":[0.9988752,0.0002527888,0.00005953757,0.0001266147,0.000341461,0.0003442931],"domain_scores_gemma":[0.9859149,0.008322421,0.0009303472,0.001430296,0.002609195,0.0007927894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01709889,0.0008010079,0.03600193,0.0004443488,0.0001330563,0.002157113,0.001302803,0.1728367,0.6793987,0.001711386,0.002038315,0.08607574],"study_design_scores_gemma":[0.0001449369,0.004889945,0.1178857,0.00009357407,0.0003704419,0.001093485,0.002019373,0.1602196,0.709157,0.001481285,0.002494392,0.0001502435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960493,0.0001706305,0.001783847,0.00004883521,0.00003182047,0.000006279424,0.00004515196,0.0001095567,0.001754429],"genre_scores_gemma":[0.9993788,0.00002259991,0.0001379775,0.000006171828,0.000005964635,0.00000195832,0.00003246807,0.00002877552,0.0003853383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007202972,"threshold_uncertainty_score":0.02409637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470623688158308,"score_gpt":0.1938808950073797,"score_spread":0.1791746581257966,"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."}}