{"id":"W1998507713","doi":"10.1175/mwr3143.1","title":"Hurricane Juan (2003). Part II: Forecasting and Numerical Simulation","year":2006,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Climatology; Tropical cyclone; Meteorology; Initialization; Storm; Mesoscale meteorology; Landfall; Nowcasting; Numerical weather prediction; Eye; Middle latitudes; Dropsonde; Spurious relationship; Geology; Environmental science; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002331192,0.0004353317,0.0003708146,0.0002089397,0.0005019739,0.0008046029,0.0004047642,0.0004882591,0.001829595],"category_scores_gemma":[0.0007234825,0.0001495911,0.0002628471,0.0005696312,0.0002675257,0.000217862,0.0002533795,0.0003779024,0.0002602825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154037,"about_ca_system_score_gemma":0.001395877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3252997,"about_ca_topic_score_gemma":0.2204065,"domain_scores_codex":[0.9999044,0.00002053748,0.000005280118,0.00001733043,0.00003011588,0.00002227731],"domain_scores_gemma":[0.9998222,0.00006155379,0.00001731355,0.00002250452,0.00005326376,0.00002318566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001079784,0.00007629147,0.01700339,0.00003216624,0.00002607812,0.0001384074,0.00005697099,0.9621273,0.001434862,0.00152225,0.0027381,0.01473624],"study_design_scores_gemma":[0.00002590575,0.0000571944,0.01202966,0.000007592857,0.000009315303,0.00002178084,0.0001103574,0.9834744,0.00116659,0.0004636128,0.00262167,0.00001188074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464218,0.001008025,0.007180289,0.0004747889,0.0001021972,0.0001766586,0.002327533,0.0002766516,0.04203198],"genre_scores_gemma":[0.9869616,0.0005031495,0.004529729,0.00003376808,0.00003309225,0.00007115871,0.001941923,0.00003401911,0.005891691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3252997,"threshold_uncertainty_score":0.6468126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363285614204279,"score_gpt":0.2541870073069069,"score_spread":0.2205541511648641,"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."}}