{"id":"W4362513264","doi":"10.22215/etd/2023-15381","title":"Learnings from collaborative monitoring of remote wildlife populations: factors affecting changes in number and distribution of nesting Hudson Bay eiders ducks in the Belcher Islands","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université du Québec à Montréal","funders":"Environment and Climate Change Canada","keywords":"Eider; Ibis; Bay; Nesting (process); Wildlife; Coproduction; Geography; Distribution (mathematics); Population; Citizen science; Fishery; Government (linguistics); Indigenous; Habitat; Environmental resource management; Shore; Ecology; Engineering; Environmental science; Political science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002578498,0.0002178541,0.0002504674,0.0005889008,0.001532546,0.001491971,0.0006610737,0.0004756913,0.001260979],"category_scores_gemma":[0.01092631,0.0001719625,0.0002025626,0.0005800315,0.00096291,0.001106118,0.001870941,0.0006234861,0.0001789553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507652,"about_ca_system_score_gemma":0.001892727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06310961,"about_ca_topic_score_gemma":0.1886116,"domain_scores_codex":[0.9986573,0.0005796551,0.00006438782,0.0001995916,0.0003037939,0.0001952041],"domain_scores_gemma":[0.9942396,0.002513685,0.001567523,0.0002593395,0.0007177346,0.0007020875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006327246,0.0006008909,0.8850439,0.0000718912,0.00005059678,0.0002690035,0.06031754,0.0004961221,0.00125107,0.0001379827,0.0008324364,0.05086524],"study_design_scores_gemma":[0.000003964192,0.0002012224,0.9171383,0.00003798965,0.00001730838,0.00005336849,0.08100476,0.0004734587,0.0002479723,0.0001161205,0.0006967896,0.000008830749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998735,0.00001759647,0.00006361332,0.0001757667,0.000002132718,0.0000136568,0.00002031297,0.000001640095,0.000970153],"genre_scores_gemma":[0.998714,0.00008660946,0.0003952007,0.00006043409,0.00000641568,0.00002348686,0.00006281646,0.000001474002,0.0006495846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9368904,"threshold_uncertainty_score":0.1254845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06230739156279523,"score_gpt":0.40648719592734,"score_spread":0.3441798043645448,"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."}}