{"id":"W4401087236","doi":"10.1111/mms.13162","title":"Estimating spatial mixing within the St. Lawrence Estuary beluga population by comparing local individual diversity and abundance","year":2024,"lang":"en","type":"article","venue":"Marine Mammal Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec en Outaouais; University of Calgary","funders":"","keywords":"Abundance (ecology); Ecology; Population; Habitat; Geography; Range (aeronautics); Endangered species; Environmental science; Biology; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009162373,0.0001731668,0.0001740116,0.001355331,0.0005736648,0.000460353,0.0002276857,0.0001579029,0.0005426099],"category_scores_gemma":[0.001606069,0.000141885,0.0001706034,0.0005520346,0.0003320663,0.0003500603,0.0003918888,0.0001859442,0.00009319258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005755037,"about_ca_system_score_gemma":0.0002509307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07461698,"about_ca_topic_score_gemma":0.1816231,"domain_scores_codex":[0.9997115,0.00009710709,0.00002160106,0.00007622451,0.00005816102,0.00003550222],"domain_scores_gemma":[0.999049,0.0002500109,0.0003109543,0.00008520693,0.0001965606,0.0001082819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003991383,0.00001407293,0.9921341,0.000005167335,0.00004573813,0.00001356857,0.0002724241,0.0006336146,0.001300333,0.00003916442,0.00004565015,0.005456188],"study_design_scores_gemma":[0.00000166645,0.00006609385,0.9956434,0.000004832507,0.00001521304,0.00004230051,0.0004509499,0.003356829,0.0002689001,0.00004440892,0.0001003054,0.000005224728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989544,0.00002916734,0.0006565494,0.000007687711,8.900138e-7,0.00000467898,0.0000605801,0.000009062536,0.000277047],"genre_scores_gemma":[0.9989052,0.00001415144,0.000890756,0.000003234203,0.000001372421,0.000005733705,0.00009151531,8.942801e-7,0.0000870713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.925383,"threshold_uncertainty_score":0.1483653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016096835356798,"score_gpt":0.2373837509853896,"score_spread":0.2172227826318216,"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."}}