{"id":"W2120233791","doi":"10.1098/rstb.2010.0077","title":"Building a mechanistic understanding of predation with GPS-based movement data","year":2010,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"Fondazione Edmund Mach","keywords":"Global Positioning System; Predation; Computer science; Field (mathematics); Ecology; Geography; Biology; Telecommunications; Mathematics","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":[0.002416654,0.002159752,0.002991879,0.003926183,0.0004369265,0.001739484,0.003372151,0.002416905,0.002039759],"category_scores_gemma":[0.005584155,0.0009945546,0.001039166,0.00323356,0.002205634,0.004903402,0.001045442,0.00271898,0.002255826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850893,"about_ca_system_score_gemma":0.001661352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005096369,"about_ca_topic_score_gemma":0.003642425,"domain_scores_codex":[0.9994174,0.0001136318,0.00007450008,0.000164105,0.0002024008,0.00002803484],"domain_scores_gemma":[0.9977071,0.001393098,0.0002791246,0.0001866303,0.0003710188,0.0000630677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005106441,0.00008213943,0.001666439,0.02137741,0.0004348054,0.0002452399,0.0001654771,0.01135353,0.001649939,0.0337653,0.01197655,0.9172322],"study_design_scores_gemma":[0.00002405721,0.0002301824,0.008647197,0.01269851,0.0006385021,0.002480213,0.0003666893,0.006985738,0.001850124,0.07676826,0.8891129,0.000197467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007135759,0.9811171,0.01381006,0.001215709,0.0003643018,0.00002657141,0.000177701,0.00006529767,0.00250968],"genre_scores_gemma":[0.003571513,0.9910279,0.004353074,0.00023625,0.0001358179,0.00002482429,0.0001249598,0.000008631141,0.0005170064],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005096369,"threshold_uncertainty_score":0.01342922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1739642216726957,"score_gpt":0.3229502173497921,"score_spread":0.1489859956770964,"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."}}