{"id":"W7035917835","doi":"","title":"2024 ACM Wold 125 Countries Rancourt Hickey Linard","year":2024,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Fusion and Plasma Physics Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excess mortality; Population; Mortality rate; World population; Developed country; Public health","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":[0.001451013,0.0004254539,0.0004668674,0.003105802,0.001860364,0.002811355,0.0005860458,0.0004764344,0.08411582],"category_scores_gemma":[0.005464755,0.0003342266,0.0004985114,0.003474261,0.0006537866,0.0007570552,0.00226705,0.001397781,0.02170258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004364236,"about_ca_system_score_gemma":0.01053419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4656193,"about_ca_topic_score_gemma":0.5671205,"domain_scores_codex":[0.9987265,0.0001825711,0.00006161336,0.0002563903,0.0005745876,0.0001982063],"domain_scores_gemma":[0.9964337,0.0002837151,0.0002643439,0.0002669666,0.001965706,0.0007855456],"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":[0.00006135009,0.00002277865,0.03599548,0.0001470406,0.0000443844,0.0002469402,0.000377212,0.0001930081,0.0002124831,0.002616643,0.8430975,0.1169851],"study_design_scores_gemma":[0.000007863945,0.00001887776,0.05307554,0.0002832241,0.00001439718,0.0002018567,0.0009656784,0.0002690962,0.0002382349,0.0004053718,0.9444898,0.00003006519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06741017,0.03346144,0.01080765,0.08463631,0.01719067,0.0008821311,0.1424471,0.004994161,0.6381703],"genre_scores_gemma":[0.2023873,0.02691736,0.01632208,0.01227651,0.002899747,0.0005742967,0.05762223,0.00173169,0.6792688],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4656193,"threshold_uncertainty_score":0.9258181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005578875280560123,"score_gpt":0.1949196765140266,"score_spread":0.1893408012334665,"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."}}