{"id":"W6930384632","doi":"10.5281/zenodo.10900993","title":"Global contemporary effective population sizes across taxonomic groups","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Concordia University","funders":"","keywords":"IUCN Red List; Inbreeding; Effective population size; Population; Taxon; Population size; Conservation status","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":[0.005716788,0.0005752885,0.001035627,0.009122417,0.0003368456,0.001663868,0.000826212,0.0005181066,0.009380831],"category_scores_gemma":[0.02439721,0.0002304294,0.001291272,0.01160049,0.00075873,0.002316803,0.001199036,0.0006710453,0.001415906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005809967,"about_ca_system_score_gemma":0.0006005075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003132525,"about_ca_topic_score_gemma":0.004630641,"domain_scores_codex":[0.9960613,0.0009296338,0.0007894937,0.001476521,0.0006455556,0.00009748505],"domain_scores_gemma":[0.9889304,0.006721337,0.002080467,0.0008379694,0.001270294,0.0001594816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000267714,0.00003238334,0.3885466,0.02172688,0.006374338,0.0004020051,0.004760345,0.005221029,0.002741225,0.0266469,0.06897113,0.4743096],"study_design_scores_gemma":[0.00008036879,0.000119527,0.5360813,0.004273943,0.002723516,0.001579246,0.002517472,0.002564274,0.001000341,0.03252479,0.416399,0.0001361827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2696754,0.2052683,0.07562474,0.004768504,0.001062378,0.0004583663,0.3687042,0.001352859,0.07308529],"genre_scores_gemma":[0.7614586,0.05204085,0.04868115,0.001691429,0.0007590097,0.001241554,0.1291188,0.0004508785,0.004557675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009380831,"threshold_uncertainty_score":0.03138196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956140569648206,"score_gpt":0.3523651839156419,"score_spread":0.3228037782191598,"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."}}