{"id":"W4412720553","doi":"10.1016/j.foreco.2025.123042","title":"Riparian forest paves the way to climate-driven expansion in bats: Evidence from a fine-scale elevational shift","year":2025,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Erasmus+","keywords":"Riparian zone; Environmental science; Scale (ratio); Ecology; Snag; Climate change; Riparian forest; Geography; Physical geography; Hydrology (agriculture); Geology; Habitat; Biology; Cartography","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":[0.0004156529,0.0001114922,0.0001698654,0.0006440833,0.0002692442,0.0005460393,0.0003026434,0.0003990696,0.001643307],"category_scores_gemma":[0.0006696092,0.0001905216,0.0002090568,0.0005923926,0.0007277334,0.0003131331,0.0004385056,0.0002653277,0.0004073383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151587,"about_ca_system_score_gemma":0.0001021234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462785,"about_ca_topic_score_gemma":0.005487047,"domain_scores_codex":[0.9998065,0.0000387339,0.00001367185,0.00006948504,0.00002779051,0.00004384423],"domain_scores_gemma":[0.9989705,0.0001891714,0.000411848,0.0001198195,0.0001386653,0.0001701222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001855922,0.00004539042,0.9790215,0.00004372779,0.000085584,0.0002138677,0.0004860407,0.00006674474,0.01051835,0.00008947955,0.0001190085,0.009124495],"study_design_scores_gemma":[0.000001084578,0.0000170627,0.9995902,0.00000267801,0.000006812845,0.00009033954,0.00007758349,0.0000228525,0.00005640078,0.00001816455,0.0001146924,0.00000200596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985702,0.0004957654,0.0001443291,0.00003603601,0.000003600336,0.000002896154,0.0001091716,0.000004528944,0.0006333574],"genre_scores_gemma":[0.9993156,0.0002522966,0.0001211918,0.00004558167,0.00001369107,0.000003602749,0.000134719,0.000003368996,0.0001099229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002462785,"threshold_uncertainty_score":0.005497396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593248127940584,"score_gpt":0.2317372919985566,"score_spread":0.2158048107191508,"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."}}