{"id":"W2005044884","doi":"10.1242/jeb.02135","title":"Kinematics of foraging dives and lunge-feeding in fin whales","year":2006,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":295,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Accelerometer; Foraging; Kinematics; Fin; Context (archaeology); Hydrophone; Acceleration; Geology; Fish fin; Acoustics; Balaenoptera; Whale; Geodesy; Physics; Biology; Fish <Actinopterygii>; Materials science; Fishery; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001729368,0.0000760753,0.0002271403,0.00004054191,0.00002633067,0.000004928102,0.000100694,0.00003061396,0.0002190257],"category_scores_gemma":[0.00002214074,0.00005857401,0.00003908172,0.00007198542,0.0001524616,0.00009675351,0.0002517675,0.00006531805,0.000002198752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000626958,"about_ca_system_score_gemma":0.00000249607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005410487,"about_ca_topic_score_gemma":0.0001509963,"domain_scores_codex":[0.9993269,0.00003091981,0.0003627262,0.00007992144,0.00007691503,0.0001225792],"domain_scores_gemma":[0.9996449,0.00005386081,0.0002324188,0.00004020051,0.000005233363,0.00002341228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002379448,0.0001064793,0.5441099,0.00001150179,0.000009872998,0.00000898379,0.0004635001,0.0000269652,0.4534912,0.0003641472,0.0003119464,0.001071739],"study_design_scores_gemma":[0.001835013,0.001387563,0.6902105,0.0001795881,0.0000286492,0.0001913733,0.004013379,0.0003538168,0.2952713,0.002573577,0.003626153,0.0003290976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916495,0.003964312,0.00001520225,0.0001022092,0.00005390539,0.00004788625,9.774244e-7,0.000001614071,0.004164408],"genre_scores_gemma":[0.9974726,0.0001677098,0.002255252,0.00005004886,0.00003605753,0.000001178914,4.071859e-7,0.000003701135,0.00001304395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1582199,"threshold_uncertainty_score":0.2398177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817338373287564,"score_gpt":0.2780491242319249,"score_spread":0.2598757404990493,"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."}}