{"id":"W4406485124","doi":"10.1016/0304-3908(77)90004-2","title":"10.1016/0304-3908(77)90004-2","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Seismic and Structural Analysis of Tall Buildings","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Architectural engineering; Computer science; Forensic engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004669324,0.000167088,0.0001976049,0.00007374481,0.00005405318,0.00004161156,0.0002358657,0.00006234558,0.9943554],"category_scores_gemma":[0.000008170075,0.0001527871,0.0001017689,0.000198631,0.00001712726,0.0001077743,0.00002032591,0.0001061913,0.9816717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004169675,"about_ca_system_score_gemma":0.00000417017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003044894,"about_ca_topic_score_gemma":1.160213e-7,"domain_scores_codex":[0.999224,0.000007708188,0.0001727183,0.0001706628,0.0001468627,0.0002780209],"domain_scores_gemma":[0.9995908,0.00001836186,0.0000104878,0.0002227798,0.00001873266,0.0001388434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001323652,0.000004752469,1.36027e-7,0.000007455373,0.00006534303,0.000004898379,0.00001512902,0.04159208,0.000373987,0.000001070255,0.3115453,0.6463766],"study_design_scores_gemma":[0.0001018436,0.00002161347,0.00002622874,0.00000881903,0.00002772375,0.000008423711,9.070582e-7,0.01809332,0.000352849,0.00002049367,0.9811223,0.0002155367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02672731,0.0001287212,0.000005587508,0.0001511342,0.000002562589,0.00006997863,0.000007729109,0.0004055224,0.9725015],"genre_scores_gemma":[0.009169037,7.804248e-7,0.000257864,0.0000460644,0.0001370055,0.000006463303,0.00001371088,0.00002935101,0.9903397],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6695769,"threshold_uncertainty_score":0.6230478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002447308590154865,"score_gpt":0.1365999655458827,"score_spread":0.1341526569557279,"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."}}