{"id":"W2942793218","doi":"10.29173/bluejay20","title":"Saskatchewan Breeding Bird Atlas: 2017 Season Highlights","year":2018,"lang":"en","type":"article","venue":"Blue Jay","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Seasonal breeder; Geography; Fishery; Cartography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003359743,0.0001074957,0.0001475079,0.00004479634,0.001450137,0.00005686358,0.000244358,0.00009841225,0.0001521018],"category_scores_gemma":[0.0001325158,0.00008427464,0.00006471558,0.0001861268,0.0007035788,0.0001458085,0.00008152879,0.00007989341,0.001238286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007568656,"about_ca_system_score_gemma":0.0001794464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01296491,"about_ca_topic_score_gemma":0.04070231,"domain_scores_codex":[0.9988738,0.00007792998,0.0001234282,0.0002122393,0.0002857018,0.000426908],"domain_scores_gemma":[0.9994562,0.00008767364,0.00007168626,0.0001587683,0.00007295821,0.0001526831],"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":[0.00002485985,0.00005939469,0.01219773,0.00001634643,0.00009289674,0.00001477908,0.3063937,2.950705e-7,0.0002700973,0.06428575,0.6103472,0.006296935],"study_design_scores_gemma":[0.0001673592,0.00006421295,0.01103416,0.00003377795,0.00002007826,0.00000132143,0.02337738,0.000006687093,0.0002800174,0.001766565,0.9630695,0.0001789111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3491985,0.0003889229,0.0002822253,0.08001421,0.002175902,0.0003505542,0.000009582096,0.0006731302,0.566907],"genre_scores_gemma":[0.965664,0.0001064896,0.0004537923,0.0004472222,0.003803691,0.000006990521,3.779319e-7,0.00001542313,0.02950196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6164656,"threshold_uncertainty_score":0.9998499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336944193635163,"score_gpt":0.3171008831499089,"score_spread":0.2837314412135573,"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."}}