{"id":"W7027132809","doi":"","title":"Comportamento non lineare per geometria dello Stadio Olimpico di Montreal","year":2002,"lang":"it","type":"article","venue":"AirIuav (Università Iuav di Venezia)","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Term (time); Closure (psychology); Forcing (mathematics)","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":[0.0003918406,0.0009751382,0.0006169034,0.001181741,0.0007429492,0.001711885,0.0009623922,0.0004798142,0.01175677],"category_scores_gemma":[0.002009657,0.0004261149,0.0004878941,0.0009099134,0.0006938124,0.0006438397,0.0009558307,0.001170963,0.00116717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002802339,"about_ca_system_score_gemma":0.002192467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2090391,"about_ca_topic_score_gemma":0.2095352,"domain_scores_codex":[0.9995622,0.00008417782,0.00000599708,0.0001314572,0.00011789,0.00009836167],"domain_scores_gemma":[0.9991264,0.0004673662,0.00006303099,0.0000616699,0.0001966598,0.00008499146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002145643,0.0001488789,0.03305932,0.0004421956,0.0002029278,0.0005214448,0.0004454687,0.4262638,0.01184648,0.3473053,0.02874983,0.1507998],"study_design_scores_gemma":[0.00003194957,0.00009204958,0.03358713,0.00004702719,0.00005010991,0.0001831966,0.0001473155,0.8906553,0.002327489,0.04619166,0.02660325,0.0000835897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4578552,0.006841897,0.410575,0.00641444,0.0006706312,0.00018366,0.003138813,0.001008762,0.1133116],"genre_scores_gemma":[0.8788136,0.002295114,0.03752196,0.0002021997,0.0003186703,0.0001843306,0.0009698608,0.0002952106,0.07939906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7909609,"threshold_uncertainty_score":0.4156448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150642850710938,"score_gpt":0.1847102800039135,"score_spread":0.1732038514968041,"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."}}