{"id":"W2995831818","doi":"10.1002/jwmg.21807","title":"A Meta‐Analysis of Band Reporting Probabilities for North American Waterfowl","year":2019,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Prairie; Environment and Climate Change Canada","funders":"","keywords":"Waterfowl; Anas; Aythya; Population; Geography; Statistics; Econometrics; Demography; Mathematics; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02730356,0.001895962,0.005231241,0.004714488,0.000960057,0.002885765,0.002114493,0.001973786,0.003955834],"category_scores_gemma":[0.06331781,0.001330491,0.02456821,0.004915273,0.0007779296,0.001942608,0.001050237,0.002056786,0.0002698314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224075,"about_ca_system_score_gemma":0.001620557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009990094,"about_ca_topic_score_gemma":0.02023743,"domain_scores_codex":[0.9787299,0.01073874,0.004282071,0.004125979,0.001626488,0.0004968381],"domain_scores_gemma":[0.9360669,0.04799873,0.007199805,0.004766416,0.00335406,0.0006140242],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003179647,0.00004011257,0.08207227,0.02597735,0.8722859,0.0001798657,0.0001543811,0.0009162707,0.0003220108,0.0002333227,0.001931357,0.01270748],"study_design_scores_gemma":[0.0004456629,0.0002873717,0.06397368,0.00438243,0.9260718,0.0001540207,0.00009895639,0.001170929,0.0002615631,0.00055727,0.002542688,0.00005366407],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1997256,0.7729957,0.01195818,0.001580894,0.001460501,0.0003718226,0.009665187,0.0002659459,0.001976242],"genre_scores_gemma":[0.9444224,0.04501087,0.005525356,0.0009874037,0.0002835587,0.0005694416,0.002599146,0.0001215451,0.0004803326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9900099,"threshold_uncertainty_score":0.1443968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829103055293113,"score_gpt":0.2708311043462565,"score_spread":0.2325400737933254,"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."}}