{"id":"W7139611878","doi":"","title":"Essays on Nowcasting : Machine learning, high-frequency data and nowcasting","year":2024,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nowcasting; Statistical analysis; Context (archaeology); Quarter (Canadian coin)","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":[0.004213337,0.001113054,0.001104584,0.002299294,0.001450425,0.006334469,0.001467139,0.004244293,0.009030891],"category_scores_gemma":[0.0255463,0.0007187393,0.001422314,0.005048244,0.003698455,0.007818648,0.001535977,0.005564386,0.003587235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003152241,"about_ca_system_score_gemma":0.001803311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007550024,"about_ca_topic_score_gemma":0.004847383,"domain_scores_codex":[0.9977834,0.0009186147,0.0001981118,0.0004826195,0.0005186731,0.00009852055],"domain_scores_gemma":[0.9843035,0.01263206,0.0005130806,0.00094882,0.001347351,0.0002550548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001321785,0.00007227292,0.001721996,0.0006010439,0.0001315587,0.0001766006,0.0006186413,0.02025346,0.0003903618,0.4082876,0.3060751,0.2615393],"study_design_scores_gemma":[0.00004262548,0.00003668472,0.002089367,0.0006858747,0.00004735233,0.0001991741,0.0003952373,0.0412856,0.0004105804,0.4914969,0.4632221,0.00008856963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008183457,0.2581224,0.3518993,0.2549178,0.04334625,0.0001160868,0.00146877,0.0007135742,0.08123229],"genre_scores_gemma":[0.2227867,0.2727054,0.14233,0.02669851,0.1669051,0.0004346805,0.0025351,0.001436474,0.1641681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009030891,"threshold_uncertainty_score":0.03021127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543185138968277,"score_gpt":0.3090818745939076,"score_spread":0.2636500232042248,"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."}}