{"id":"W4404160203","doi":"10.1111/1365-2656.14194","title":"Space‐for‐time substitutions exaggerate urban bird–habitat ecological relationships","year":2024,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Gund Institute for Environment; Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Ecology; Habitat; Geography; Space (punctuation); Biology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001401885,0.0004860383,0.0002791431,0.0005811163,0.0006199509,0.00114787,0.0006530209,0.0005053149,0.003931435],"category_scores_gemma":[0.005687881,0.0002640391,0.0009229911,0.0009676108,0.001081654,0.001016112,0.000855275,0.0007740068,0.0006207683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008160123,"about_ca_system_score_gemma":0.0006649573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04364919,"about_ca_topic_score_gemma":0.0902751,"domain_scores_codex":[0.9992449,0.0002011126,0.00005040558,0.0003227577,0.00008786991,0.00009293152],"domain_scores_gemma":[0.9972362,0.001203482,0.0006585531,0.0005026655,0.0002411911,0.0001579242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003179876,0.00008559271,0.9363328,0.00006091966,0.0005612362,0.0003126623,0.0004831132,0.02048797,0.003794808,0.00261942,0.002059346,0.03288412],"study_design_scores_gemma":[0.00002277265,0.0001020439,0.8986255,0.00002856064,0.0002017029,0.0003066648,0.0009386309,0.08840729,0.0008172574,0.005151307,0.00537077,0.00002741259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812397,0.0006296385,0.01251307,0.0008223186,0.00008812373,0.00001941666,0.0008044245,0.0001823888,0.003700981],"genre_scores_gemma":[0.9980494,0.00006033521,0.0008878582,0.0000684375,0.00001154709,0.00000626987,0.0003228115,0.00002504509,0.0005681745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04364919,"threshold_uncertainty_score":0.08679026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254480903372618,"score_gpt":0.2438441959899456,"score_spread":0.2212993869562195,"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."}}