{"id":"W4414599690","doi":"10.1111/mms.70072","title":"Multi‐Scale Habitat Selection of Greater Caribbean Manatees in Sian Ka'an Biosphere Reserve, Mexico","year":2025,"lang":"en","type":"article","venue":"Marine Mammal Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Comisión Nacional de Acuacultura y Pesca, Gobierno de México; Comisión Nacional de Áreas Naturales Protegidas; Animal Welfare Institute","keywords":"Manatee; Habitat; Biosphere; Seagrass; Population; Selection (genetic algorithm); Spatial ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002992857,0.0001467623,0.0001868317,0.0004625549,0.0003082696,0.0005662587,0.0003572757,0.0002286893,0.001022463],"category_scores_gemma":[0.0005731734,0.000111284,0.0002325165,0.0004296518,0.0002636756,0.0002090859,0.0003774381,0.0001226169,0.00004609806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034894,"about_ca_system_score_gemma":0.0004842207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1807267,"about_ca_topic_score_gemma":0.3160958,"domain_scores_codex":[0.9999156,0.00002883626,0.000003206777,0.0000282552,0.000006112578,0.00001805258],"domain_scores_gemma":[0.9997813,0.00007970448,0.00006354578,0.0000192532,0.00002489478,0.00003127482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007246097,0.00005009727,0.9605429,0.0000239551,0.0001084294,0.0001448539,0.0003810126,0.03170177,0.001053265,0.0006102469,0.0003282945,0.004982795],"study_design_scores_gemma":[0.00001516374,0.00005403018,0.9168224,0.00001817153,0.00003748598,0.00007114335,0.001064705,0.08049004,0.0001347931,0.0002127561,0.001066688,0.00001252215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994153,0.00003438207,0.0001784624,0.00002835272,5.451877e-7,0.00000302101,0.00007266214,0.000003952194,0.0002633414],"genre_scores_gemma":[0.9995149,0.00004230735,0.0002272087,0.000005532891,7.913548e-7,0.000007736268,0.00007519018,0.000001483949,0.0001247321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1807267,"threshold_uncertainty_score":0.3593496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280848871226654,"score_gpt":0.2544284260942826,"score_spread":0.2416199373820161,"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."}}