{"id":"W2794105554","doi":"10.1111/ddi.12741","title":"Predicting distributions, habitat preferences and associated conservation implications for a genus of rare fishes, seahorses (<i>Hippocampus</i> spp.)","year":2018,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Aquatic life and conservation","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"China Scholarship Council","keywords":"Seahorse; Threatened species; Habitat; Ecology; IUCN Red List; Biology; Species distribution; Range (aeronautics); Conservation status; Rare species","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006293718,0.0003576033,0.0001936913,0.001403184,0.0002795028,0.0007241605,0.0003111232,0.000281441,0.001280913],"category_scores_gemma":[0.001527527,0.0001679335,0.0005084247,0.0006926394,0.000271204,0.0006716462,0.0005613792,0.0002427889,0.0002246005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004906352,"about_ca_system_score_gemma":0.0003516385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01297558,"about_ca_topic_score_gemma":0.02560985,"domain_scores_codex":[0.9998584,0.00004373167,0.0000107478,0.00005308217,0.00001495603,0.0000191921],"domain_scores_gemma":[0.9992762,0.0003461665,0.000171744,0.00005201142,0.00008478449,0.00006898994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005407304,0.00003284309,0.9512052,0.00005049456,0.0001014166,0.0001036084,0.0001299744,0.03314153,0.001300718,0.0002138336,0.0004942541,0.01317211],"study_design_scores_gemma":[0.00001015785,0.00008261077,0.7227016,0.00005064514,0.00008892678,0.0001962806,0.0009618566,0.2730024,0.0009073803,0.001184513,0.000790268,0.00002325178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951963,0.00007728393,0.003539972,0.00006060777,0.000003310894,0.000006329082,0.0005893146,0.00004145976,0.0004854912],"genre_scores_gemma":[0.9966367,0.00003559254,0.002466972,0.000009673943,0.000002525255,0.000006468396,0.0006924774,0.000005312088,0.000144181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01297558,"threshold_uncertainty_score":0.02580011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04534069287177822,"score_gpt":0.2331297236680478,"score_spread":0.1877890307962696,"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."}}