{"id":"W6902525089","doi":"10.6084/m9.figshare.c.6626115","title":"Supplementary material from \"When death comes: linking predator–prey activity patterns to timing of mortality to understand predation risk\"","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Trent University; University of Alberta","funders":"","keywords":"Predation; Foraging; Diel vertical migration; Predator; Snowshoe hare; Population","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001793374,0.001266131,0.001086706,0.002610742,0.001116957,0.003166733,0.002598829,0.001789221,0.8713246],"category_scores_gemma":[0.01246085,0.000806036,0.001271726,0.002850499,0.0003923235,0.002544333,0.003092435,0.0007886945,0.5671152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108818,"about_ca_system_score_gemma":0.001649851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009328022,"about_ca_topic_score_gemma":0.02302877,"domain_scores_codex":[0.9989925,0.0001850286,0.0001020001,0.0002050655,0.0004043905,0.0001109493],"domain_scores_gemma":[0.9932804,0.003114636,0.0003801466,0.0008301957,0.001623615,0.000771111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004694274,0.00001809455,0.0005806171,0.0004382399,0.00001208693,0.00004061583,0.00003947595,0.0001628204,0.000167453,0.0009169851,0.9867874,0.01078915],"study_design_scores_gemma":[0.0001576835,0.00002944241,0.006226441,0.0005402911,0.00002302097,0.0001443559,0.00006064442,0.0007454349,0.0003931471,0.004850971,0.9867775,0.00005105491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004949098,0.000212545,0.003106649,0.0007694503,0.0009617266,0.0001211295,0.9369294,0.006309411,0.05109474],"genre_scores_gemma":[0.007705618,0.0006601199,0.01351252,0.001281494,0.0004885994,0.0006340433,0.8578988,0.01232137,0.1054975],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8713246,"threshold_uncertainty_score":0.1835399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1386811144936736,"score_gpt":0.3410535527632313,"score_spread":0.2023724382695577,"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."}}