{"id":"W4385780965","doi":"10.59238/j.pt.2001.05x.010","title":"Prestressed Construction of Toronto Telecommunications Tower","year":2001,"lang":"en","type":"article","venue":"Prestress Technology","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tower; Telecommunications; Engineering; Architectural engineering; Civil 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":[0.0001659304,0.0002589389,0.0001120744,0.0008166428,0.003958203,0.001192618,0.0004651,0.0004798586,0.01531697],"category_scores_gemma":[0.0007374152,0.0002636784,0.0001640607,0.0009229735,0.0009769514,0.0002789818,0.0007036328,0.0006274001,0.001232283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0180549,"about_ca_system_score_gemma":0.01442616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8248562,"about_ca_topic_score_gemma":0.9561005,"domain_scores_codex":[0.9995426,0.00004392883,0.000009510356,0.00005506937,0.0002370552,0.000111958],"domain_scores_gemma":[0.9995193,0.00003803253,0.00004307882,0.00003713269,0.000221627,0.0001406854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001527949,0.0003351752,0.3339497,0.000426435,0.00009656733,0.01398668,0.02175168,0.1711893,0.08385734,0.07123572,0.05139123,0.2502521],"study_design_scores_gemma":[0.00003440984,0.0004168964,0.8625903,0.0001054232,0.00002950283,0.0005136822,0.01306132,0.02171037,0.008097166,0.001166232,0.09220999,0.00006477843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8904008,0.0002161633,0.002009018,0.0004735387,0.00004254364,0.00006882727,0.001212923,0.00009117931,0.1054851],"genre_scores_gemma":[0.9691812,0.0001325596,0.0009763094,0.00001390442,0.00000560632,0.000009346501,0.0004060419,0.00001444251,0.02926054],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1751438,"threshold_uncertainty_score":0.3523504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005483327679776755,"score_gpt":0.2159195829813978,"score_spread":0.210436255301621,"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."}}