{"id":"W3216148070","doi":"10.24926/aws.0103","title":"American Woodcock Status","year":2019,"lang":"en","type":"article","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Forest Service; Bird Studies Canada","keywords":"Woodcock; Geography; Demography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002998346,0.0003022037,0.000178258,0.001656587,0.0006225529,0.0004742043,0.0003093235,0.0002106984,0.02671845],"category_scores_gemma":[0.0007021453,0.00007734323,0.0001089647,0.001128363,0.0001392648,0.0005895565,0.0003405826,0.0003047736,0.004306657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418486,"about_ca_system_score_gemma":0.0002656451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01626966,"about_ca_topic_score_gemma":0.04505504,"domain_scores_codex":[0.9997959,0.00002343319,0.00001436926,0.00004208034,0.00007700943,0.00004725872],"domain_scores_gemma":[0.9994962,0.00002669957,0.0001554641,0.00002722336,0.000158036,0.0001363992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003405866,0.0002835699,0.6845633,0.0004022599,0.0001253102,0.0004997171,0.001795098,0.0002093293,0.001874994,0.002650032,0.1593415,0.1479142],"study_design_scores_gemma":[0.00001293498,0.00006797863,0.9024123,0.0001119767,0.00002999665,0.0004074064,0.0007122391,0.0001403894,0.0001227211,0.0005386312,0.09542833,0.00001509237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6636988,0.004268791,0.001055227,0.0007851725,0.00026583,0.0004570794,0.06135079,0.000365071,0.2677532],"genre_scores_gemma":[0.8328035,0.004182167,0.002123832,0.001039253,0.0002561665,0.0006870939,0.06123894,0.00006769145,0.09760133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02671845,"threshold_uncertainty_score":0.08938205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00386772211178422,"score_gpt":0.1957012700608168,"score_spread":0.1918335479490326,"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."}}