{"id":"W2115425939","doi":"10.1890/12-1225.1","title":"Exploring the ecological processes driving geographical patterns of breeding bird richness in British Columbia, Canada","year":2012,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service; University of British Columbia; University of Victoria","funders":"","keywords":"Species richness; Breeding bird survey; Ecology; Geography; Habitat; Taiga; Body size and species richness; Species diversity; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002529359,0.00007459403,0.00014755,0.00001041455,0.0002681662,0.00005445176,0.0003273379,0.00005744509,0.01322393],"category_scores_gemma":[0.0001445902,0.0000759927,0.00003678957,0.0006287132,0.0001709958,0.0001556157,0.0002513366,0.0001686051,0.00004988323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000353794,"about_ca_system_score_gemma":0.0000223524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2931465,"about_ca_topic_score_gemma":0.9798564,"domain_scores_codex":[0.9988551,0.00003153767,0.0002654055,0.0002195381,0.0002269675,0.0004014605],"domain_scores_gemma":[0.9993374,0.0002944703,0.00008303906,0.0001455859,0.00001834874,0.0001211374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[4.37576e-7,0.0003247295,0.9981497,0.000009134228,0.000002368568,0.00000130962,0.00002613422,0.000008782613,0.0001006077,0.0001642721,0.000392639,0.0008198647],"study_design_scores_gemma":[0.00008070681,0.00001976311,0.9892671,0.000005310115,0.000005684778,0.000009162914,0.001192078,0.000006766449,0.00002993973,0.00006862845,0.009213355,0.0001015241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978245,0.00002451824,0.00008280645,0.0004407675,0.00006275232,0.0003869245,0.00004249454,0.00005056406,0.001084604],"genre_scores_gemma":[0.998238,0.00009639373,0.0000271207,0.0001730765,0.00004118211,0.001362846,0.00001457846,0.00000696126,0.00003981791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6867098,"threshold_uncertainty_score":0.9876781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04380054362178468,"score_gpt":0.2246233630977856,"score_spread":0.1808228194760009,"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."}}