{"id":"W2804069173","doi":"","title":"Système de télésurveillance pour le suivi en continu des propriétés modales d'un pont","year":2018,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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"],"consensus_categories":[],"category_scores_codex":[0.0003594487,0.0002757891,0.0003852892,0.0001028146,0.0005625926,0.00001997309,0.0007049398,0.0002442237,0.00004271607],"category_scores_gemma":[0.0001086259,0.00027604,0.0002749382,0.0002443157,0.001529849,0.00026522,0.00027812,0.0002755016,0.00004437113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534073,"about_ca_system_score_gemma":0.0005432559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004719696,"about_ca_topic_score_gemma":0.008752617,"domain_scores_codex":[0.9985759,0.000142168,0.0002838174,0.0002558567,0.0002277464,0.0005145103],"domain_scores_gemma":[0.9990034,0.00007451826,0.00009703733,0.0003304126,0.0003663888,0.0001282998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003491508,0.0004529398,0.0474699,0.01139054,0.001057184,0.00007829478,0.02667281,0.1395727,0.6725104,0.07381832,0.003563272,0.02306446],"study_design_scores_gemma":[0.001648806,0.0001352538,0.3360979,0.00920014,0.0002411866,0.0001806474,0.0006981502,0.04298567,0.5840604,0.004896989,0.01931542,0.0005393676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7400118,0.01495781,0.217945,0.0002133428,0.001736623,0.0002650356,0.00002464233,0.00006652201,0.02477928],"genre_scores_gemma":[0.9635593,0.0006106127,0.03110426,0.000005856936,0.0005205086,5.920431e-7,0.000002659353,0.00002293101,0.004173242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.288628,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830106845170584,"score_gpt":0.196260438268441,"score_spread":0.1879593698167352,"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."}}