{"id":"W2284287812","doi":"10.1680/maen.14.00017","title":"Projected impact of climate change on waves at Mumbai High","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Maritime Engineering","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Climate change; Submarine pipeline; Climatology; Environmental science; General Circulation Model; Global warming; Wave height; Significant wave height; Climate model; Return period; Meteorology; Geography; Wind wave; Geology; Oceanography","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":[0.000235054,0.0003567369,0.0001498448,0.0004541166,0.0003511864,0.0006103311,0.0002519589,0.0005019698,0.002598533],"category_scores_gemma":[0.0005776321,0.0001371745,0.0003551366,0.0007899096,0.0001657496,0.0004947247,0.0005234834,0.0004306695,0.0004562939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351335,"about_ca_system_score_gemma":0.0007228808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03909358,"about_ca_topic_score_gemma":0.05306436,"domain_scores_codex":[0.9998939,0.00001847199,0.00000435157,0.00001430572,0.00002166934,0.00004716938],"domain_scores_gemma":[0.9998123,0.00003479622,0.00003404854,0.00001245361,0.00005897187,0.00004741334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000563337,0.0002110317,0.8371574,0.0001598486,0.0001891679,0.001492311,0.0005536854,0.1170181,0.0141057,0.002870669,0.005342499,0.02033638],"study_design_scores_gemma":[0.00002540803,0.0001355488,0.9421901,0.00002146341,0.00005231598,0.0002190168,0.0009766305,0.05142244,0.002133887,0.0003452025,0.00244641,0.00003171264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995447,0.00004751464,0.000338034,0.000279376,0.00001587757,0.000008608759,0.001974637,0.00003543658,0.001853477],"genre_scores_gemma":[0.9970898,0.0001106882,0.0002932866,0.00003804765,0.000006188003,0.00001697636,0.001695872,0.000005394052,0.0007436727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03909358,"threshold_uncertainty_score":0.07773209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209788093317988,"score_gpt":0.2249080696321495,"score_spread":0.2039292603003507,"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."}}