{"id":"W6966368081","doi":"10.4224/8895627","title":"Description of seakeeping experiments carried out on CCGA Atlantic Swell Model IOT651","year":2005,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seakeeping; Scale (ratio); Submarine pipeline; Scale model; Software; Full scale; Data set; Ship motions","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002486818,0.0005672489,0.0003760522,0.0004621628,0.0006477794,0.000563334,0.0006075818,0.0002813436,0.003853199],"category_scores_gemma":[0.0004788426,0.0002385387,0.0002612947,0.0005793982,0.0002165849,0.0003163983,0.0003880837,0.0005737073,0.001011732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039278,"about_ca_system_score_gemma":0.0004861025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008511327,"about_ca_topic_score_gemma":0.01719112,"domain_scores_codex":[0.9997591,0.00001528639,0.00002214897,0.00004255078,0.0001344584,0.00002637773],"domain_scores_gemma":[0.9996737,0.00003841692,0.00003360272,0.0001374487,0.0000821917,0.00003456288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001854477,0.001798116,0.1143448,0.0006252434,0.0001295578,0.001228496,0.0005832007,0.2687335,0.4762955,0.002298505,0.01507136,0.1170373],"study_design_scores_gemma":[0.0006232942,0.005732376,0.2437312,0.0001043749,0.0001889394,0.0005312723,0.0008304124,0.3365576,0.3477547,0.001386477,0.06226079,0.0002985949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9123092,0.0001331296,0.03708737,0.0001144739,0.0000582973,0.001581171,0.02439249,0.002338284,0.02198567],"genre_scores_gemma":[0.9298035,0.0003302093,0.03523044,0.00006399257,0.00001326573,0.002078272,0.02679053,0.0003474681,0.005342355],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008511327,"threshold_uncertainty_score":0.01692361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1517289675014973,"score_gpt":0.3477509625825654,"score_spread":0.1960219950810681,"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."}}