{"id":"W4413452588","doi":"10.1016/j.tcrr.2025.08.006","title":"Typhoon science meets artificial intelligence: A roundtable on bridging physics-based and data-driven paradigms","year":2025,"lang":"en","type":"article","venue":"Tropical Cyclone Research and Review","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China; National Natural Science Foundation of China","keywords":"Bridging (networking); Typhoon; Data science; Computer science; Engineering ethics; Engineering; Physics; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0110999,0.000862001,0.001358184,0.002463122,0.001155623,0.005230092,0.001338582,0.004359535,0.005085067],"category_scores_gemma":[0.005704912,0.0004644684,0.0009623799,0.002622244,0.003676365,0.01708414,0.005155075,0.008186338,0.001363397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002133055,"about_ca_system_score_gemma":0.004775107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073025,"about_ca_topic_score_gemma":0.001773103,"domain_scores_codex":[0.9978149,0.00098544,0.0001650594,0.0002554578,0.0005638258,0.0002152698],"domain_scores_gemma":[0.9909136,0.006774697,0.0003226139,0.0002702835,0.001072533,0.0006462103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001348866,0.0001186046,0.0005815061,0.009712026,0.0001618025,0.0002053994,0.001174579,0.00105319,0.001929345,0.2218832,0.1358336,0.6272117],"study_design_scores_gemma":[0.00001567812,0.0001231892,0.0006040911,0.004081631,0.0000464806,0.0001474936,0.001105955,0.0005260624,0.0003486158,0.08635813,0.9065933,0.00004937944],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.000745313,0.8986986,0.00609878,0.0751576,0.01349196,0.00003144443,0.00004409605,0.00006310301,0.005669099],"genre_scores_gemma":[0.01685967,0.9241048,0.007065885,0.03156251,0.0169767,0.000103155,0.00009893557,0.00006211024,0.003166307],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0110999,"threshold_uncertainty_score":0.05870259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1845993264114005,"score_gpt":0.4244272262269749,"score_spread":0.2398278998155744,"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."}}