{"id":"W4405905761","doi":"10.22541/essoar.173559680.05171890/v1","title":"Empirical reconstruction of pre-1995 extreme storms using ML-derived solar wind inputs","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Storm; Solar wind; Meteorology; Atmospheric sciences; Physics; Plasma","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":[0.0009557916,0.0004987125,0.0002820914,0.0009529577,0.0002958736,0.00080068,0.0007768939,0.0005157671,0.001188566],"category_scores_gemma":[0.005031941,0.0003910038,0.0003798717,0.0007156227,0.0003491406,0.0005436012,0.0003909238,0.0005559357,0.0004228764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607969,"about_ca_system_score_gemma":0.0008559378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1236553,"about_ca_topic_score_gemma":0.1272845,"domain_scores_codex":[0.9997898,0.00003853514,0.00001799262,0.00006568433,0.00004453674,0.00004348431],"domain_scores_gemma":[0.9983402,0.0006095416,0.0001875179,0.0002216529,0.0005427536,0.00009818223],"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":[0.0002843289,0.00009329279,0.2993491,0.00006204347,0.0001316817,0.0001876371,0.0001651584,0.6487385,0.002445043,0.000736264,0.002422431,0.04538456],"study_design_scores_gemma":[0.0000252475,0.00001838332,0.114359,0.00001409358,0.00001446554,0.00003368914,0.00006701049,0.883323,0.001197083,0.0002153057,0.0007160017,0.0000166697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890786,0.00008508899,0.007117905,0.0001383165,0.000008265679,0.00001841957,0.00226311,0.0002972167,0.0009929955],"genre_scores_gemma":[0.9907395,0.0000326657,0.003575264,0.00001399303,0.000006651308,0.000008452614,0.005208166,0.0000284237,0.0003869961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1236553,"threshold_uncertainty_score":0.2458711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078638397924897,"score_gpt":0.2916966387215429,"score_spread":0.1838327989290532,"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."}}