{"id":"W6925420262","doi":"10.17632/sbbb82fg65.1","title":"Data for: Avian community response to understory protection harvesting in the boreal forest of Alberta, Canada","year":2017,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Multidisciplinary Science and Engineering Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Understory; Taiga; Abundance (ecology); Boreal; Point (geometry); Bioacoustics; Relative species abundance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008720002,0.001505142,0.0009097643,0.004153531,0.001651006,0.002135779,0.002284744,0.0009413272,0.01808405],"category_scores_gemma":[0.003611767,0.0005951375,0.0008996521,0.007671738,0.0005968727,0.0005678867,0.001115784,0.001237127,0.01036197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01180181,"about_ca_system_score_gemma":0.02352836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9682176,"about_ca_topic_score_gemma":0.9884571,"domain_scores_codex":[0.9992866,0.00003586897,0.00006279579,0.000140492,0.0002990904,0.0001752022],"domain_scores_gemma":[0.9963882,0.0003176726,0.0003138674,0.0003232906,0.002240487,0.0004165259],"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":[0.00009956508,0.00003761572,0.02362407,0.0008177026,0.00009467806,0.00007792976,0.0002364586,0.0009127823,0.000214738,0.0006616857,0.9671012,0.006121656],"study_design_scores_gemma":[0.0002625221,0.00002278975,0.2177101,0.00109201,0.0001384886,0.0001269792,0.0008753545,0.001414529,0.0006717098,0.0009101921,0.7766684,0.0001069461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001157054,0.0001043044,0.00005218851,0.00004255884,0.00001290027,0.00001323916,0.9978442,0.0001004731,0.0006729842],"genre_scores_gemma":[0.003072735,0.0000968451,0.0003314644,0.00002793925,0.000005422448,0.00005372408,0.995162,0.00003213397,0.001217717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03178245,"threshold_uncertainty_score":0.08562851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2113655533996145,"score_gpt":0.40611777119602,"score_spread":0.1947522177964055,"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."}}