{"id":"W1835530158","doi":"10.1186/s40462-015-0047-4","title":"A novel approach to quantifying the spatiotemporal behavior of instrumented grey seals used to sample the environment","year":2015,"lang":"en","type":"article","venue":"Movement Ecology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Dalhousie University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Animal ecology; Sampling (signal processing); Range (aeronautics); Home range; Sample (material); Telemetry; Biotelemetry; Environmental science; Computer science; Statistics; Remote sensing; Geography; Ecology; Habitat; Telecommunications; Mathematics; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006199861,0.0003940108,0.0003019992,0.002248114,0.0003879681,0.0007304379,0.0004487357,0.0003471038,0.0008051805],"category_scores_gemma":[0.001881965,0.000204269,0.0002979866,0.001435363,0.0004157406,0.0005678794,0.0009915904,0.00027618,0.0001798569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005841157,"about_ca_system_score_gemma":0.000612865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01840591,"about_ca_topic_score_gemma":0.05094508,"domain_scores_codex":[0.9995469,0.00008265302,0.00003570577,0.0001681446,0.0001262849,0.00004016989],"domain_scores_gemma":[0.9988378,0.0002227661,0.0005480365,0.00009457742,0.0002269311,0.00006987535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001271379,0.0001166774,0.8775365,0.000390785,0.0002003485,0.0002842586,0.001884139,0.006978904,0.0314255,0.001259736,0.001047725,0.07874843],"study_design_scores_gemma":[0.00001532553,0.00042354,0.8916898,0.0001082186,0.0001863909,0.0009513216,0.004293116,0.08671624,0.009285197,0.001603743,0.004663661,0.00006337345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015962,0.0004991188,0.09213035,0.0001146198,0.00003124128,0.0001920137,0.001868346,0.0001963899,0.00337173],"genre_scores_gemma":[0.9354867,0.0002246505,0.06233396,0.0000479486,0.00002520201,0.0002301752,0.0007062706,0.00001886108,0.0009261887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01840591,"threshold_uncertainty_score":0.03659755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255465522717736,"score_gpt":0.2880277030559182,"score_spread":0.1624811507841446,"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."}}