{"id":"W4410372683","doi":"10.5194/essd-2025-11","title":"CLIMATHUNDERR: Experimental database of buoyancy-driven downbursts","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; McGill University","funders":"HORIZON EUROPE Framework Programme; Centre Scientifique et Technique du Bâtiment; European Commission","keywords":"Database; 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":[0.001251264,0.0008555366,0.0007384556,0.002204805,0.0003021623,0.0006793691,0.0008865742,0.0006018239,0.003331331],"category_scores_gemma":[0.002713775,0.0002235958,0.000605138,0.001458491,0.0002668608,0.0005449817,0.0007765272,0.000433353,0.002874468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003041139,"about_ca_system_score_gemma":0.0005440615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005128602,"about_ca_topic_score_gemma":0.007241188,"domain_scores_codex":[0.9990268,0.0001232414,0.0001311126,0.0003569493,0.0002890534,0.000072824],"domain_scores_gemma":[0.996988,0.0005138054,0.0005578939,0.000816283,0.0008159495,0.000308162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00486282,0.003180474,0.6102497,0.002456574,0.001346366,0.001546765,0.0009304099,0.0354341,0.03033972,0.001518604,0.1475022,0.1606322],"study_design_scores_gemma":[0.000506584,0.0023879,0.8510531,0.0001800247,0.0003401808,0.0009360346,0.0006939368,0.07369602,0.01258726,0.000959311,0.05645171,0.0002078975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6441857,0.0006234438,0.005473137,0.00009413227,0.0001577452,0.0004837561,0.3412453,0.004014103,0.003722661],"genre_scores_gemma":[0.4193434,0.0002154226,0.007392844,0.00004194539,0.00005178023,0.0007931613,0.5700533,0.0002316346,0.001876506],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005128602,"threshold_uncertainty_score":0.0111444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136039604396018,"score_gpt":0.2797502083134344,"score_spread":0.2583898122694742,"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."}}