{"id":"W2915341332","doi":"10.1515/orhu-2018-0022","title":"Mackenzie River Peregrine Falcon Surveys 1966–2018","year":2018,"lang":"en","type":"article","venue":"Ornis Hungarica","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Passerine; Arctic; Nest (protein structural motif); Geography; Falcon; Predation; Aerial survey; Ecology; Fishery; Biology; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001214713,0.0001768389,0.0000892149,0.001298829,0.0007507839,0.0002309222,0.0004059964,0.0001433881,0.002962144],"category_scores_gemma":[0.000333005,0.0001464137,0.0001003101,0.0007540362,0.0001452271,0.0002173889,0.0003338505,0.0001708739,0.0005274998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949276,"about_ca_system_score_gemma":0.00068554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4137635,"about_ca_topic_score_gemma":0.8621375,"domain_scores_codex":[0.999863,0.000009087724,0.00001161891,0.00003957943,0.00004183428,0.0000348629],"domain_scores_gemma":[0.9994289,0.00001945405,0.0001734129,0.00002367652,0.0002518331,0.0001025783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009090155,0.0000343315,0.9752873,0.00006052047,0.00003003235,0.0002319365,0.001391313,0.00006635307,0.002309471,0.00002851552,0.00298229,0.01748705],"study_design_scores_gemma":[8.697133e-7,0.00001347446,0.9963463,0.000008414382,0.000002977758,0.000048157,0.00024035,0.00002400638,0.0001714845,0.00000122465,0.003141355,0.000001383727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880574,0.0002171257,0.0000706861,0.0000511604,0.00000861892,0.00003371134,0.004404976,0.00002088387,0.007135602],"genre_scores_gemma":[0.9816163,0.0004951833,0.0008708941,0.00006862876,0.00001807976,0.00008054725,0.005605127,0.000007877738,0.01123733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5862365,"threshold_uncertainty_score":0.8227103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178438025877389,"score_gpt":0.2435562688354851,"score_spread":0.2257124662477462,"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."}}