{"id":"W2770232656","doi":"10.1002/jwmg.21398","title":"Tree cavity occupancy by nesting vertebrates across cavity age","year":2017,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Occupancy; Nest (protein structural motif); Excavator; Wildlife; Context (archaeology); Ecology; Habitat; Biology; Nest box; Geography; Archaeology; Predation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009839931,0.0001645056,0.0002495844,0.00002670445,0.0008520878,0.0001797096,0.0007635721,0.0000782499,0.0002496356],"category_scores_gemma":[0.0001491892,0.0001453914,0.0001102159,0.00007214918,0.0002407202,0.000799703,0.000471948,0.0002399588,0.0001504086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442101,"about_ca_system_score_gemma":0.000009570313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002505435,"about_ca_topic_score_gemma":0.0003722615,"domain_scores_codex":[0.998536,0.00007473434,0.0004339522,0.00021844,0.0003889319,0.000347958],"domain_scores_gemma":[0.9985751,0.00004499454,0.0007903486,0.0004351339,0.00001978833,0.0001346577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004096959,0.0001234805,0.8191332,0.00001246511,0.00005223426,0.0002206328,0.000157436,0.00006178999,0.0001559275,0.00004126891,0.1571577,0.02284293],"study_design_scores_gemma":[0.0007471932,0.00009034939,0.9658002,0.00003565722,0.00005262367,0.00002371151,0.000175403,0.0002550439,0.00006460808,0.0005676676,0.03202833,0.0001591949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982206,0.00002863257,0.0005988556,0.00543642,0.000572887,0.000149489,0.000005259106,0.0000158921,0.01098649],"genre_scores_gemma":[0.9930537,0.00005655189,0.001274421,0.002981649,0.0001354464,0.000005432309,0.000002630011,0.00001199356,0.002478126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1466671,"threshold_uncertainty_score":0.6553657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690903342642231,"score_gpt":0.2721052260548095,"score_spread":0.2551961926283872,"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."}}