{"id":"W7000720533","doi":"","title":"Habitat change and biased sampling influence estimation of diversity trends","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Habitat; Sampling bias; Sampling (signal processing); Diversity (politics); Taxon; Global biodiversity; Survey data collection; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06406746,0.0006750682,0.0009202938,0.002006226,0.001128832,0.002813395,0.002119964,0.001671829,0.002096511],"category_scores_gemma":[0.2288567,0.0007406609,0.001456229,0.002732561,0.003122926,0.003450745,0.002405981,0.001266212,0.0004973839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667084,"about_ca_system_score_gemma":0.001007195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540368,"about_ca_topic_score_gemma":0.0231155,"domain_scores_codex":[0.9520208,0.03854288,0.00201843,0.004401914,0.002066671,0.0009494134],"domain_scores_gemma":[0.7503905,0.2054299,0.02275664,0.01613976,0.004404065,0.0008791634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001695052,0.00004217201,0.9373454,0.000274572,0.001082193,0.0001373378,0.001492149,0.01971968,0.0007046138,0.003725785,0.001356003,0.03395049],"study_design_scores_gemma":[0.00005585514,0.0003307265,0.8212337,0.0003355945,0.000665034,0.0005094276,0.001500661,0.1415235,0.001916511,0.02442006,0.007406524,0.0001022967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7068229,0.003689019,0.2758634,0.002680206,0.0003090666,0.0005053502,0.002482528,0.0005417177,0.007105783],"genre_scores_gemma":[0.966127,0.0003647018,0.03128698,0.0005929623,0.00009183799,0.0001810111,0.0007899492,0.000125718,0.0004399345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06406746,"threshold_uncertainty_score":0.3388252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08040787110994405,"score_gpt":0.2942461501508097,"score_spread":0.2138382790408657,"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."}}