{"id":"W3000316576","doi":"10.1061/9780784481837.011","title":"Effective Length Factor of Leg Member in Latticed Steel Tower","year":2018,"lang":"en","type":"article","venue":"","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Tower; Structural engineering; Factor (programming language); Engineering; Computer science","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":[0.0002695881,0.0003464806,0.0001740519,0.0007789926,0.0002989396,0.0005685223,0.0005709967,0.0006412679,0.002152071],"category_scores_gemma":[0.0009822269,0.0001781354,0.0002233052,0.000325122,0.0009128985,0.0006447724,0.0003705284,0.0002679969,0.0005493567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556067,"about_ca_system_score_gemma":0.000339161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00220164,"about_ca_topic_score_gemma":0.002053399,"domain_scores_codex":[0.9998023,0.00003435516,0.000008170437,0.00004132381,0.00008075299,0.000032965],"domain_scores_gemma":[0.9996494,0.0001203221,0.0001140184,0.00002862148,0.00006013333,0.00002744784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002596655,0.00009716506,0.0164353,0.0002549742,0.00002061146,0.001190425,0.0005775781,0.7439539,0.1071707,0.06295045,0.001488512,0.06560071],"study_design_scores_gemma":[0.00001286886,0.0001966341,0.009877378,0.00004901997,0.00001821569,0.0005198828,0.0002444185,0.9594882,0.01407331,0.01189365,0.003567887,0.00005863297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7245846,0.0007242768,0.2363916,0.000126617,0.00004068933,0.00004374092,0.0001594274,0.0003068237,0.03762219],"genre_scores_gemma":[0.9907341,0.0001668017,0.006863599,0.00001376615,0.000008996622,0.00001571839,0.0000355411,0.00002434385,0.002137257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00220164,"threshold_uncertainty_score":0.007199466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009586233823853228,"score_gpt":0.2371351980800513,"score_spread":0.2275489642561981,"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."}}