{"id":"W7128302171","doi":"10.5281/zenodo.18526098","title":"Denis G Rancourt conference presentation slides, Towards understanding the government assault and persistent excess mortality (Canada focus)","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Jurisdiction; Excess mortality; Socioeconomic status; Pandemic; Population; Harm","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":[0.00183437,0.0007749012,0.0004783059,0.002055488,0.005211457,0.006914056,0.001344016,0.001801205,0.08115803],"category_scores_gemma":[0.00546015,0.0003944075,0.0004564558,0.002523496,0.001728572,0.001972356,0.002299551,0.003518951,0.01180795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03093729,"about_ca_system_score_gemma":0.041274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8751847,"about_ca_topic_score_gemma":0.9428807,"domain_scores_codex":[0.9992357,0.00009029691,0.0000153607,0.0001315334,0.0003621624,0.0001649503],"domain_scores_gemma":[0.9958267,0.0003330377,0.00007801958,0.00005392448,0.002444725,0.00126358],"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":[0.000004361289,0.000004202355,0.0002982782,0.00003880279,0.000002749551,0.00001764307,0.0001322378,0.00003386845,0.0000184027,0.001209588,0.9905316,0.007708317],"study_design_scores_gemma":[0.000004677184,0.000004931101,0.002479716,0.0004293938,0.000007712049,0.00004320693,0.001515044,0.0000676654,0.00004669191,0.0009970255,0.9943849,0.00001906136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002968207,0.1383688,0.002028244,0.5830042,0.08055899,0.000190625,0.006344376,0.0004201214,0.1861165],"genre_scores_gemma":[0.03731904,0.1872824,0.002624409,0.06641731,0.02279197,0.0001964572,0.004347204,0.000634592,0.6783865],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1248153,"threshold_uncertainty_score":0.2715007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1161944647834557,"score_gpt":0.3352632694931905,"score_spread":0.2190688047097347,"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."}}