{"id":"W7133286602","doi":"","title":"EBS beluga population abundance estimate","year":2023,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beluga; Beluga Whale; Aerial survey; Abundance (ecology); Population; Range (aeronautics); Beaufort sea; Survey methodology","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":[0.0009005371,0.0003001312,0.000237274,0.001443755,0.0004384454,0.0003613521,0.0003812439,0.000148599,0.004973994],"category_scores_gemma":[0.002196345,0.0001749264,0.0003117266,0.0005358931,0.0001807364,0.0003950828,0.0004768969,0.0003791421,0.001177698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266188,"about_ca_system_score_gemma":0.0006473899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1531199,"about_ca_topic_score_gemma":0.2553214,"domain_scores_codex":[0.9994797,0.00007724189,0.0000462899,0.0001230837,0.000220113,0.00005355377],"domain_scores_gemma":[0.9992337,0.00009125097,0.0001354791,0.00005755818,0.000431182,0.00005078145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000148108,0.00006565301,0.8091711,0.000260772,0.0002816605,0.0004147469,0.001519609,0.004644538,0.002911577,0.002712042,0.03620749,0.1416627],"study_design_scores_gemma":[0.00002143212,0.0001505938,0.9300522,0.0001407462,0.0001430358,0.0005019846,0.0008200036,0.0116106,0.0005781307,0.0005566009,0.05538972,0.00003500604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025316,0.002440185,0.02520547,0.0005831662,0.000244644,0.0004463283,0.01656649,0.0007050395,0.05127708],"genre_scores_gemma":[0.9581161,0.001122381,0.01434656,0.000185271,0.00006701113,0.000299979,0.0149156,0.0000444628,0.01090263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8468801,"threshold_uncertainty_score":0.3044573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009969906024203948,"score_gpt":0.2557093560392171,"score_spread":0.2457394500150132,"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."}}