{"id":"W363366837","doi":"","title":"Avian species richness can be predicted by NDVI in areas experiencing gradual habitat transformations","year":2011,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Habitat; Geography; Quadrant (abdomen); Ecology; Normalized Difference Vegetation Index; Physical geography; Cartography; Climate change; Biology; Medicine","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":[0.0002202461,0.0001784,0.0001179875,0.0005209155,0.0001556441,0.000350887,0.0001768094,0.0001787305,0.002445315],"category_scores_gemma":[0.001607606,0.0002227818,0.0002457722,0.0003894135,0.0002759082,0.0003364453,0.0003062749,0.0002607628,0.0006189022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000846765,"about_ca_system_score_gemma":0.0002261752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1350569,"about_ca_topic_score_gemma":0.287365,"domain_scores_codex":[0.9998914,0.00001945884,0.000005850974,0.00003285934,0.0000142562,0.00003616472],"domain_scores_gemma":[0.9992833,0.0002403583,0.0001782324,0.00005839733,0.0001120425,0.0001276856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009668735,0.000009591237,0.9949034,0.000007203605,0.00002205184,0.00003056233,0.00007746947,0.00261496,0.0004129607,0.0000368366,0.0002305878,0.001557726],"study_design_scores_gemma":[0.000001760391,0.000008908795,0.9987067,0.000002467919,0.000002770264,0.00001230718,0.00008250797,0.001036842,0.00003673402,0.00001489148,0.00009231796,0.000001805629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984334,0.00004113363,0.0001387736,0.00002257805,0.000001473458,0.000003267526,0.0005896098,0.00001195987,0.0007578383],"genre_scores_gemma":[0.9992058,0.0000198257,0.0000556165,0.00000394577,6.793615e-7,0.000001645698,0.0005086334,0.00000153915,0.0002024164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1350569,"threshold_uncertainty_score":0.2685416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08746288966617377,"score_gpt":0.2650494497821006,"score_spread":0.1775865601159268,"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."}}