{"id":"W6959103694","doi":"10.7939/dvn/swde5d","title":"Replication Data for: Predation risk and space use of a declining Dall sheep (Ovis dalli dalli) population","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Predation; Population; Replication (statistics); Space (punctuation); Population density","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":[0.002627257,0.001430413,0.001372572,0.001864029,0.000875027,0.001713517,0.003113117,0.002129477,0.04711455],"category_scores_gemma":[0.01680707,0.0007914564,0.001238222,0.003916801,0.0004648292,0.0007092729,0.001281104,0.001363444,0.02774974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257188,"about_ca_system_score_gemma":0.002845504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0530114,"about_ca_topic_score_gemma":0.07920791,"domain_scores_codex":[0.9988258,0.0002207217,0.0001794602,0.0004108269,0.000225364,0.0001377093],"domain_scores_gemma":[0.9930578,0.002059455,0.0009618158,0.00202181,0.001374265,0.0005247003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003753434,0.0000788372,0.01150338,0.001329028,0.0002741267,0.00005332103,0.00009102161,0.0009748835,0.0003290251,0.0004628812,0.9807138,0.003814231],"study_design_scores_gemma":[0.003551313,0.0001274088,0.09779196,0.000732055,0.0005535968,0.0001873524,0.0002863872,0.002547977,0.0009160816,0.002753262,0.8904243,0.0001283413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006564998,0.00003230723,0.0000648461,0.00006063298,0.0000171086,0.00001252869,0.9988219,0.0001230726,0.0002111068],"genre_scores_gemma":[0.003566614,0.00004199101,0.0005597649,0.00007328792,0.00001262385,0.0002493057,0.9943584,0.00007813267,0.001059977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0530114,"threshold_uncertainty_score":0.1576139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08767101758406524,"score_gpt":0.3369594348886771,"score_spread":0.2492884173046119,"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."}}