{"id":"W2180198718","doi":"10.1111/j.0014-3820.2002.tb01478.x","title":"DIVERSIFYING COEVOLUTION BETWEEN CROSSBILLS AND BLACK SPRUCE ON NEWFOUNDLAND","year":2002,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black spruce; Coevolution; Biology; Ecology; Local adaptation; Taiga; Population; Demography","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":[0.0002903689,0.0001721418,0.0002102135,0.0006651297,0.0007322148,0.0005361141,0.0002575039,0.0001575249,0.0008383009],"category_scores_gemma":[0.0003343267,0.0001154605,0.0001562683,0.0003547903,0.0006227671,0.0001853943,0.0005732226,0.0002669079,0.00007806062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002253356,"about_ca_system_score_gemma":0.0006898275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2851639,"about_ca_topic_score_gemma":0.7227302,"domain_scores_codex":[0.9998243,0.00002069362,0.000006440527,0.00006648505,0.00002583944,0.0000562303],"domain_scores_gemma":[0.9996426,0.00004755572,0.0001109565,0.000028654,0.0000590964,0.0001111112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001179422,0.000031373,0.9797919,0.00001168896,0.00009460418,0.0002315495,0.000935388,0.0001921602,0.01321526,0.00007782277,0.0001368204,0.005163519],"study_design_scores_gemma":[0.000001020283,0.000006878944,0.9995095,0.000002039164,0.000005240561,0.00002740889,0.0002205831,0.00004167826,0.00006274581,0.000004425803,0.0001173449,0.000001212643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997147,0.00002747592,0.00001733272,0.00001082899,5.514785e-7,5.783939e-7,0.00002060603,0.000001258772,0.000206648],"genre_scores_gemma":[0.9996852,0.00002356737,0.00004542066,0.00001511678,6.993263e-7,9.861075e-7,0.00005950794,0.000001148793,0.0001683565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7148361,"threshold_uncertainty_score":0.5670082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874034904551553,"score_gpt":0.2374306108983586,"score_spread":0.2086902618528431,"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."}}