{"id":"W4393858539","doi":"10.25071/8tbzyp64","title":"Welcome to Volume 3, Edition 1 of CJEM","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Management","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Computer science; Physics; Thermodynamics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008605627,0.00007798309,0.0001354586,0.0007867219,0.0002332686,0.00002903931,0.0005476602,0.00002925892,0.002550299],"category_scores_gemma":[0.00006847884,0.00007848777,0.0001064675,0.00127969,0.00006516897,0.0002172562,0.00003827971,0.00006047674,0.0003150504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013546,"about_ca_system_score_gemma":0.0001413713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004133032,"about_ca_topic_score_gemma":0.03746443,"domain_scores_codex":[0.9986059,0.00006322445,0.0003971802,0.0001130942,0.0004370565,0.0003835491],"domain_scores_gemma":[0.9990559,0.000007823667,0.0001582724,0.0001420046,0.0001490475,0.0004869366],"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":[0.000006651426,0.00001942473,0.01045342,0.00006705334,0.00008840582,0.0001271895,0.006658855,0.0007546702,0.00001490667,0.04181071,0.9258588,0.01413992],"study_design_scores_gemma":[0.0001093491,0.00007423131,0.05856718,0.00006274872,0.00003643948,2.442972e-7,0.01184915,0.00002107295,0.00000507614,0.00270727,0.9264506,0.0001166019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2797312,0.0002848399,0.001850215,0.02082227,0.0278544,0.0008543168,0.00002338102,0.00005245729,0.6685269],"genre_scores_gemma":[0.9395673,0.0003889436,0.0001846875,0.0001039538,0.0007335618,0.000005514612,0.000002553052,0.00001059055,0.05900292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.659836,"threshold_uncertainty_score":0.9983615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226349561083717,"score_gpt":0.3035950201781037,"score_spread":0.2713315245672666,"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."}}