{"id":"W2740471276","doi":"10.1002/wsb.794","title":"Relationships between abundances of breeding ducks and attributes of Canadian prairie wetlands","year":2017,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"Environment and Climate Change Canada; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada","keywords":"Abundance (ecology); Wetland; Habitat; Ecology; Wildlife; Waterfowl; Range (aeronautics); Environmental science; Biology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007506016,0.00009356206,0.0001826238,0.00002795014,0.0007573485,0.0000227003,0.0002402319,0.0001731809,0.0003442662],"category_scores_gemma":[0.0003579984,0.00009447854,0.00006926893,0.0000981409,0.0007220682,0.0001197713,0.0001094539,0.0001874317,0.00003438009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004680132,"about_ca_system_score_gemma":0.00004137292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02444657,"about_ca_topic_score_gemma":0.02716709,"domain_scores_codex":[0.9991741,0.00004798381,0.0002400416,0.000192251,0.0001454549,0.0002002216],"domain_scores_gemma":[0.9991294,0.0001931102,0.0002934652,0.0002401685,0.0000200461,0.0001238163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002467866,0.000007510903,0.9096531,0.000010876,0.00002147811,2.833385e-7,0.0005110097,0.00001104521,0.00003626403,0.0001434593,0.08938074,0.0002217835],"study_design_scores_gemma":[0.0002170343,0.00003768175,0.9382594,0.00002600306,0.00002428926,0.000001148651,0.0003287495,0.00002966041,0.00005582727,0.0003068435,0.06062422,0.00008912473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499494,0.00003331286,0.00004183852,0.04497054,0.00005914796,0.0001123282,0.00003554927,0.0000103982,0.004787451],"genre_scores_gemma":[0.9973226,0.00005142944,0.001645895,0.0003837519,0.00006437177,0.000005915985,0.00001380345,0.000006994033,0.0005052397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04737316,"threshold_uncertainty_score":0.9905846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646925292439025,"score_gpt":0.2340057937588655,"score_spread":0.1975365408344752,"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."}}