{"id":"W6948343920","doi":"10.5063/f1mc8x92","title":"Tree cavity nest productivity datasets for British Columbia (Canada) and Misiones (Argentina), 1995-2018","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"","keywords":"Species richness; Productivity; Temperate climate; Subtropics; Temperate rainforest; Nest (protein structural motif); Biodiversity; Species diversity","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":[],"consensus_categories":[],"category_scores_codex":[0.0005354117,0.001072209,0.0007563842,0.003805559,0.001155457,0.00123209,0.001594648,0.000541552,0.00773099],"category_scores_gemma":[0.002676967,0.0004620355,0.0004652344,0.008883719,0.0002705671,0.0003616754,0.0007842313,0.0007786008,0.00601382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005875509,"about_ca_system_score_gemma":0.009513984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9213336,"about_ca_topic_score_gemma":0.9561206,"domain_scores_codex":[0.9995029,0.00003182002,0.00004716285,0.0001364702,0.0001757342,0.0001058189],"domain_scores_gemma":[0.9977982,0.0001613101,0.0002372741,0.0002182297,0.001321378,0.0002635741],"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":[0.000169719,0.00005159458,0.05597822,0.0006185911,0.0001757172,0.00010683,0.0001536628,0.001030565,0.0002711116,0.0006140758,0.9326488,0.008181157],"study_design_scores_gemma":[0.0002092693,0.00001722284,0.3217242,0.0004964393,0.0001110141,0.0001136668,0.0005128611,0.001441802,0.0005122549,0.0003246776,0.6744787,0.00005792838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002093222,0.00009503326,0.00003313308,0.00002619888,0.000006423876,0.000008288872,0.9970559,0.00007285827,0.0006088852],"genre_scores_gemma":[0.00316486,0.00007607139,0.0001965093,0.00001329492,0.000002455249,0.00004140283,0.9958258,0.00001653719,0.0006631677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07866639,"threshold_uncertainty_score":0.1582593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321723581531975,"score_gpt":0.2073559288266588,"score_spread":0.1941386930113391,"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."}}