{"id":"W7132525831","doi":"","title":"Wave parameter predictions based on ship motions using machine learning","year":2023,"lang":"en","type":"article","venue":"NPARC","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAFER; Economic shortage; Field (mathematics); Wave motion; Wind wave; Motion (physics); Wave height","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004429834,0.0006214224,0.0004641668,0.0009132966,0.0003025027,0.0004791581,0.0004608327,0.0004369794,0.001129356],"category_scores_gemma":[0.002731679,0.0002784586,0.0004595426,0.0006297622,0.0002550789,0.0007721069,0.0003130119,0.0009109835,0.000589914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997166,"about_ca_system_score_gemma":0.0006182707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004786464,"about_ca_topic_score_gemma":0.004910921,"domain_scores_codex":[0.9998104,0.0000368256,0.00001976166,0.00005238189,0.00005644549,0.0000241111],"domain_scores_gemma":[0.9990205,0.0005636616,0.0001258718,0.00008912177,0.0001781644,0.00002265623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005299914,0.00008233875,0.004292757,0.00002664667,0.00003909391,0.00004904794,0.00002555313,0.8387471,0.003660495,0.0006634528,0.0005363644,0.1518242],"study_design_scores_gemma":[0.000001218997,0.000005462888,0.0004667877,0.000001735487,0.000001597221,0.000002844374,0.000002750171,0.9986533,0.0005049212,0.0002975879,0.00005967007,0.000002200076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09094761,0.0001288232,0.9059268,0.0001121144,0.00004389289,0.00004534558,0.0001702758,0.001188856,0.001436278],"genre_scores_gemma":[0.859859,0.0001330519,0.1378406,0.00004076669,0.00004649135,0.00008654762,0.0005032255,0.00005904129,0.001431249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004786464,"threshold_uncertainty_score":0.009517193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355200359269928,"score_gpt":0.2315852887095789,"score_spread":0.1880332851168796,"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."}}