{"id":"W7104284921","doi":"10.71781/2673","title":"The skyscraper’s summit, as a beacon and a viewing platform New York, Paris, Montreal, Shanghai","year":2023,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Seismic and Structural Analysis of Tall Buildings","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ligne; ESPACE; Unsaid","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001078599,0.0004374275,0.000406494,0.0002154918,0.003986477,0.0001592681,0.0003843491,0.0003697834,0.00001575629],"category_scores_gemma":[0.00003107654,0.0003843017,0.0002954158,0.0002910816,0.00008797688,0.00024986,0.00008252457,0.0004519549,0.00004613068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467061,"about_ca_system_score_gemma":0.0003428933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06948917,"about_ca_topic_score_gemma":0.02458705,"domain_scores_codex":[0.998315,0.00001914307,0.0003485614,0.0004190996,0.0004648566,0.0004333827],"domain_scores_gemma":[0.9990543,0.0001337225,0.0001572108,0.0002936573,0.0000685023,0.0002925695],"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":[0.002315754,0.00009802603,0.005605848,0.001263633,0.01003543,0.004818737,0.146263,0.05916059,0.019453,0.01410155,0.2717619,0.4651225],"study_design_scores_gemma":[0.003210583,0.000224967,0.06472566,0.00146958,0.003090462,0.0009390227,0.1651818,0.0527823,0.008100936,0.007419821,0.689252,0.003602875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876605,0.0891296,0.00002112828,0.0002041506,0.001061767,0.0002600695,0.00001999775,0.0004244185,0.02121837],"genre_scores_gemma":[0.8414058,0.01006822,0.0001214113,0.00007731771,0.0002980196,0.00002182899,0.0004606726,0.00007495481,0.1474718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4615197,"threshold_uncertainty_score":0.9998609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007373551929926181,"score_gpt":0.171083292746085,"score_spread":0.1637097408161589,"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."}}