{"id":"W2923678557","doi":"10.2749/vancouver.2017.2599","title":"Columbia River Skywalk – Turning a Need into a Landmark","year":2017,"lang":"en","type":"article","venue":"Report","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Landmark; Pedestrian; Span (engineering); Pipeline transport; Pipeline (software); Civil engineering; Constructability; Engineering; Architectural engineering; Work (physics); Transport engineering; Construction engineering; Computer science; Structural engineering; Artificial intelligence; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006392407,0.0002926418,0.0001131528,0.0005134282,0.006202339,0.004701825,0.0008633623,0.001370282,0.0305907],"category_scores_gemma":[0.0008926785,0.0003085242,0.0001349297,0.0008040174,0.002992556,0.002237896,0.003284499,0.002069528,0.003408417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007421514,"about_ca_system_score_gemma":0.01811981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3708071,"about_ca_topic_score_gemma":0.7986649,"domain_scores_codex":[0.9992083,0.00006393675,0.000009480574,0.00008905526,0.0004254009,0.0002038462],"domain_scores_gemma":[0.9994011,0.00002542203,0.00001517973,0.0000431131,0.000208937,0.0003062162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000919766,0.00006508299,0.004795776,0.0001541247,0.000005123276,0.001644745,0.01020787,0.0004649465,0.004778157,0.1159944,0.6967633,0.1650344],"study_design_scores_gemma":[0.000004001645,0.00002680933,0.003479605,0.0000692822,0.000002719459,0.0002303044,0.008314713,0.0001548061,0.0004105796,0.001473211,0.985815,0.00001890417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.09517311,0.001696901,0.01005507,0.04559934,0.002181582,0.0001244969,0.0004861054,0.0009633832,0.84372],"genre_scores_gemma":[0.2633035,0.001584309,0.01187513,0.003055405,0.0001618129,0.00007957159,0.0005286702,0.0005063943,0.7189052],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3708071,"threshold_uncertainty_score":0.7372974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006749926675576191,"score_gpt":0.2264535453906603,"score_spread":0.2197036187150841,"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."}}