{"id":"W4290102406","doi":"10.1002/9781118943274.ch8","title":"Factors Affecting European Badger Movement Lengths and Propensity","year":2022,"lang":"en","type":"other","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Badger; Meles; Ecology; Geography; Abundance (ecology); Movement (music); Competition (biology); Wildlife; Biology","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":[0.001272171,0.0003055379,0.000266549,0.0005700078,0.0002972117,0.0008275546,0.0003560788,0.0007539209,0.003162956],"category_scores_gemma":[0.004017272,0.0002179603,0.000526729,0.0004936628,0.0005783048,0.0005063441,0.0006041788,0.0004648644,0.0004256901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338461,"about_ca_system_score_gemma":0.000172835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004601419,"about_ca_topic_score_gemma":0.01101176,"domain_scores_codex":[0.9994069,0.0001793377,0.00006193987,0.0002019907,0.00003731135,0.0001125012],"domain_scores_gemma":[0.9974904,0.0009071007,0.0009187028,0.0003096129,0.00007216536,0.0003019661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001213408,0.00002926881,0.99646,0.000007169791,0.00006351002,0.00006295775,0.0001482844,0.0007841221,0.0003069903,0.00005974657,0.0001178541,0.001838748],"study_design_scores_gemma":[0.000001939783,0.00003357366,0.9990798,0.000003113559,0.000009684866,0.00006936637,0.0000985206,0.0004957058,0.00002530945,0.00004780689,0.0001317762,0.000003479413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993235,0.00006026791,0.0001613001,0.0000390501,0.000002827596,0.000001978698,0.0001482741,0.00000591226,0.0002568571],"genre_scores_gemma":[0.9992195,0.00003520814,0.0001471128,0.00001665467,0.000002865421,0.00000478296,0.0002053331,0.00000472712,0.0003637529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004601419,"threshold_uncertainty_score":0.01058114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005486062753845,"score_gpt":0.2038346181617105,"score_spread":0.1837797575341721,"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."}}