{"id":"W6982516117","doi":"","title":"Infrastructure Risk Resilience Reporter (IR3) - June 2015","year":2015,"lang":"en","type":"other","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; Natural Resources Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Natural hazard; Resilience (materials science); Natural (archaeology); Hazard; Natural disaster; Process (computing); Space (punctuation); Risk management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.0004000052,0.002094461,0.001854096,0.006972708,0.001878982,0.0003520606,0.003866165,0.002554703,0.002579945],"category_scores_gemma":[0.0001843003,0.002594083,0.001039322,0.005530762,0.003545299,0.003932514,0.002281962,0.002477683,0.001132877],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004553562,"about_ca_system_score_gemma":0.008587793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378944,"about_ca_topic_score_gemma":0.0003669972,"domain_scores_codex":[0.9900075,0.001329791,0.0009527184,0.003346275,0.002674825,0.001688856],"domain_scores_gemma":[0.991606,0.000165675,0.002613737,0.002889724,0.0006679668,0.002056908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009411041,0.0001975867,0.003855455,0.0001718496,0.0009621132,0.02092235,0.0001899152,0.001736785,0.0006035623,0.01610114,0.9541778,0.0001403174],"study_design_scores_gemma":[0.003296546,0.000184315,0.0007098342,0.0006766072,0.001388447,0.0008939147,0.001383856,0.0001106619,0.000408961,0.00009772756,0.9882643,0.002584845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002667373,0.001235994,0.0003764006,0.0002255706,0.006329475,0.001378594,0.005659596,0.003405671,0.9787213],"genre_scores_gemma":[0.00638022,0.0008135366,0.001474466,0.0001824364,0.001950698,0.00000146279,0.002436257,0.001163675,0.9855973],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03408646,"threshold_uncertainty_score":0.9998236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005210042182487087,"score_gpt":0.1839505988312902,"score_spread":0.1787405566488031,"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."}}