{"id":"W2068175012","doi":"10.1007/s10661-005-3958-5","title":"Aerial Monitoring of Marine Waterfowl in the Alaskan Beaufort Sea","year":2005,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"LGL (Canada)","funders":"","keywords":"Waterfowl; Aerial survey; Transect; Beaufort scale; Abundance (ecology); Beaufort sea; Habitat; Geography; Fishery; Ecology; Environmental science; Physical geography; Biology; Arctic; Cartography; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002172012,0.0001141293,0.0001290549,0.00003595767,0.00007619285,0.00002340812,0.0001309879,0.0000412074,0.0002397391],"category_scores_gemma":[0.00000139609,0.0000773459,0.00002627341,0.00003671855,0.00005520524,0.0001078613,0.00005086329,0.0001568572,0.00001067332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009902347,"about_ca_system_score_gemma":0.000007157184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216708,"about_ca_topic_score_gemma":0.0001442077,"domain_scores_codex":[0.9991915,0.00005303425,0.000192195,0.0001712913,0.0001818417,0.0002101964],"domain_scores_gemma":[0.999735,0.00005820925,0.00004776315,0.0001124205,0.000001096567,0.00004550891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001374694,0.0000303152,0.795438,0.000004503273,0.000006286895,0.00000547921,0.00009084539,0.0001197887,0.0005936391,0.000003105472,0.000004425201,0.2036899],"study_design_scores_gemma":[0.0002469886,0.0001399193,0.9907227,0.00001043111,0.000007362782,0.00001395081,0.0006582589,0.000181867,0.00264995,0.00002833905,0.005249278,0.00009094274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925458,0.0001151401,0.000002309833,0.0001290629,0.0003028673,0.00009938837,0.00002150289,0.000006838667,0.006777033],"genre_scores_gemma":[0.9977463,0.0003951125,0.0009762756,0.00001046681,0.0005574973,0.000003276675,0.00005258575,0.000002372585,0.0002561054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2035989,"threshold_uncertainty_score":0.3351014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068474192759654,"score_gpt":0.2236004876999076,"score_spread":0.212915745772311,"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."}}