{"id":"W4393652358","doi":"10.5281/zenodo.7130561","title":"PLAINE ship wave drawdowns from XBeach model","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Maritime","funders":"","keywords":"Computer science","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":[0.000714435,0.002497818,0.001164544,0.001969998,0.0006039727,0.001785832,0.002538259,0.001592579,0.1002197],"category_scores_gemma":[0.002706794,0.0009069265,0.001942897,0.003489887,0.0002982714,0.001675664,0.001212061,0.002097151,0.1518058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089873,"about_ca_system_score_gemma":0.001339419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02992424,"about_ca_topic_score_gemma":0.05131925,"domain_scores_codex":[0.9994062,0.00006486695,0.00005394986,0.0002298536,0.0001621192,0.00008294894],"domain_scores_gemma":[0.9990086,0.0001839958,0.00005566102,0.0004093794,0.0002788077,0.00006361066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000473734,0.00002014758,0.0007977674,0.0002305584,0.00003838933,0.00001865306,0.00001616454,0.002184566,0.000173752,0.0003650506,0.9934975,0.002610112],"study_design_scores_gemma":[0.0003204025,0.00002414313,0.007346025,0.0002014436,0.00005198238,0.00005235093,0.00008400848,0.006336696,0.001435297,0.002792739,0.981275,0.00007988328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002539337,0.0000252321,0.0003322198,0.00004123195,0.00004199769,0.00000807045,0.9952937,0.002881726,0.001121926],"genre_scores_gemma":[0.0006971525,0.00002383377,0.0005202729,0.00001941906,0.00000550117,0.00003385717,0.9973068,0.0005486076,0.0008445015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1002197,"threshold_uncertainty_score":0.3352684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06362443658663391,"score_gpt":0.2254820560453283,"score_spread":0.1618576194586944,"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."}}