{"id":"W4290989502","doi":"10.1098/rsos.211860","title":"Multivariate analysis of biologging data reveals the environmental determinants of diving behaviour in a marine reptile","year":2022,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Australian Government; Holsworth Wildlife Research Endowment","keywords":"Diel vertical migration; Foraging; Turtle (robot); Multivariate statistics; Principal component analysis; Sea turtle; Environmental science; Fishery; Ecology; Biology; 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":[0.0004266021,0.0002729034,0.0002036913,0.0009219456,0.0001870624,0.0003627576,0.0001221287,0.0001260128,0.0006219065],"category_scores_gemma":[0.001152522,0.0001007741,0.0003021827,0.0008128216,0.0002290961,0.0003004685,0.0004571961,0.0002247367,0.0001358598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419573,"about_ca_system_score_gemma":0.0001212127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669128,"about_ca_topic_score_gemma":0.007230323,"domain_scores_codex":[0.9997973,0.00006115065,0.00001593373,0.00006301,0.00003270381,0.00002990323],"domain_scores_gemma":[0.9993504,0.0002242707,0.0002024735,0.00009174725,0.00007218039,0.00005891821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001851401,0.00008400124,0.8970014,0.00009183132,0.0001752101,0.0001313955,0.0005419788,0.004098363,0.04448674,0.0001511049,0.000438563,0.05261429],"study_design_scores_gemma":[5.361803e-7,0.00002235211,0.996199,0.000002483648,0.000007930849,0.00003170855,0.0001136377,0.003043024,0.0003905758,0.00005027518,0.0001332979,0.000005229827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961814,0.00004712669,0.003089313,0.00001928618,0.000002642799,0.000002956351,0.0004371198,0.00003251429,0.0001877408],"genre_scores_gemma":[0.997072,0.00003395046,0.002034511,0.00000546523,0.00000390197,0.000004433608,0.0007617055,0.000009167615,0.00007483186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002669128,"threshold_uncertainty_score":0.005307257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715240179055451,"score_gpt":0.2963392696622565,"score_spread":0.269186867871702,"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."}}