{"id":"W2952411821","doi":"10.1111/mms.12627","title":"Simulated and experimental estimates of hydrodynamic drag from bio‐logging tags","year":2019,"lang":"en","type":"article","venue":"Marine Mammal Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; European Commission; National Science Foundation","keywords":"Drag; Computational fluid dynamics; Marine engineering; Mechanics; Environmental science; Simulation; Computer science; Physics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002770176,0.0001791749,0.0002412154,0.00004480386,0.0001561456,0.00004640694,0.0004751531,0.00003199217,0.005247674],"category_scores_gemma":[0.0000559599,0.0001548912,0.00003610639,0.0004584688,0.0008263444,0.0003642362,0.003308432,0.00008493045,0.0002660119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424678,"about_ca_system_score_gemma":0.00001220956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853327,"about_ca_topic_score_gemma":0.0003847017,"domain_scores_codex":[0.9983127,0.00001559577,0.0002368155,0.0005738327,0.0004742453,0.0003868765],"domain_scores_gemma":[0.999396,0.0000763745,0.0001065661,0.000292371,0.000009780995,0.0001189104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002343016,0.0000558283,0.8800305,0.00001107302,0.000006231649,0.000005087043,0.000139244,0.0009898366,0.1077117,0.00007108814,0.00001823543,0.0109378],"study_design_scores_gemma":[0.000409991,0.0001825294,0.8516282,0.00001630911,0.00001043258,0.000005005179,0.00009656561,0.1245981,0.02160976,0.0004501108,0.0007373621,0.0002556374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665027,0.00006714161,0.00001566499,0.00005939043,0.00009198135,0.0002180657,0.000003778136,0.00004090825,0.03300036],"genre_scores_gemma":[0.9975181,0.00001282531,0.002129867,0.00008969576,0.00001109576,0.000002942209,0.000003363279,0.000009954123,0.0002221764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1236082,"threshold_uncertainty_score":0.9956617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00622590136034133,"score_gpt":0.2282432955377062,"score_spread":0.2220173941773649,"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."}}