{"id":"W3214970464","doi":"10.24926/aws.0130","title":"Retrospective Analysis of American Woodcock Population and Harvest Trends in Canada","year":2019,"lang":"en","type":"article","venue":"","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"U.S. Fish and Wildlife Service","keywords":"Woodcock; Geography; Demography; Population; Index (typography); Brood; Ecology; Biology","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":[0.0008648385,0.0002930952,0.0003344833,0.002541903,0.001269346,0.0008067956,0.0007199768,0.0001749579,0.00109194],"category_scores_gemma":[0.002135879,0.0002748288,0.0002867286,0.004841881,0.0004238995,0.0003066872,0.0004555881,0.0003821431,0.0001753071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009507112,"about_ca_system_score_gemma":0.01334572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876636,"about_ca_topic_score_gemma":0.994127,"domain_scores_codex":[0.9993256,0.0000464128,0.00003849246,0.0001393716,0.000300164,0.0001498931],"domain_scores_gemma":[0.9963208,0.0002051751,0.0004502916,0.000140819,0.002504066,0.0003789043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003808282,0.00001068496,0.9926595,0.00002398591,0.00006395462,0.00003200704,0.0003806871,0.0002181083,0.000206502,0.00008028572,0.001239761,0.005046481],"study_design_scores_gemma":[0.000001158514,0.000007803896,0.9976888,0.000010742,0.00001521742,0.00002152121,0.0003337005,0.0003983125,0.00006242828,0.00001339449,0.001439739,0.000007164344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816111,0.0005734654,0.0005290334,0.00007407051,0.000007949399,0.0000420146,0.01517947,0.00003864325,0.001944243],"genre_scores_gemma":[0.9826953,0.0006851298,0.001066983,0.00007595606,0.000007497945,0.00004969259,0.01373579,0.00001958032,0.001664011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01233643,"threshold_uncertainty_score":0.0689792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004306061151745547,"score_gpt":0.2126554587853181,"score_spread":0.2083493976335726,"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."}}