{"id":"W2289499020","doi":"","title":"THE MSC50 WIND AND WAVE REANALYSIS","year":2006,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hindcast; Submarine pipeline; Extratropical cyclone; Meteorology; Climatology; Geology; Wind wave; Environmental science; Oceanography; Geography","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":[0.0003539833,0.0005273847,0.0005637527,0.0008914414,0.0003203264,0.0009736166,0.0006786056,0.0006195619,0.00673614],"category_scores_gemma":[0.0009972682,0.0003101495,0.0005856792,0.001730131,0.0001619843,0.0005614043,0.0003122747,0.0006417842,0.005087357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006202128,"about_ca_system_score_gemma":0.0016063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06759538,"about_ca_topic_score_gemma":0.06716703,"domain_scores_codex":[0.9997386,0.0000265712,0.00001531313,0.00003712246,0.0001536254,0.00002877852],"domain_scores_gemma":[0.9996038,0.00002301514,0.00003437508,0.0000785023,0.000230336,0.00003008768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001074087,0.0002181592,0.04645037,0.0006103605,0.0008863594,0.0004723976,0.0002743439,0.2453639,0.01224132,0.01091942,0.4642846,0.2172047],"study_design_scores_gemma":[0.000395122,0.0001126333,0.1615795,0.0001553215,0.0002528647,0.0001319331,0.0001222079,0.264027,0.00987329,0.003335739,0.5598577,0.0001567752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2603818,0.001945536,0.02183517,0.001387933,0.001576522,0.0003754564,0.5704269,0.01149983,0.1305709],"genre_scores_gemma":[0.399765,0.001534992,0.02978496,0.0002584113,0.0004023674,0.0004550198,0.5220649,0.00152739,0.04420703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06759538,"threshold_uncertainty_score":0.1344038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006304984283553027,"score_gpt":0.1624058330842874,"score_spread":0.1561008488007344,"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."}}