{"id":"W4392506263","doi":"10.5751/jfo-00428-950110","title":"Efficiency of enhanced capture methods and age-class structure of dispersing boreal woodpeckers","year":2024,"lang":"en","type":"article","venue":"Journal of Field Ornithology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Environment and Climate Change Canada; Université Laval","funders":"Bird Studies Canada; Association of Field Ornithologists","keywords":"Boreal; Class (philosophy); Geography; Biology; Evolutionary biology; Zoology; Ecology; Computer science; Artificial intelligence","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":[0.002019343,0.0002455963,0.0001443598,0.0006250305,0.0001929435,0.0002698074,0.0003140236,0.0002036309,0.0006592089],"category_scores_gemma":[0.003717938,0.0001117954,0.0001477143,0.0002245848,0.0001392197,0.0003333318,0.0002560159,0.0001670829,0.0001753937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659882,"about_ca_system_score_gemma":0.0001440755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007748561,"about_ca_topic_score_gemma":0.02947535,"domain_scores_codex":[0.9988875,0.0002938394,0.0001018006,0.0003670004,0.0002457779,0.0001040847],"domain_scores_gemma":[0.9963065,0.001121173,0.001242507,0.0004054401,0.0007582112,0.0001661373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001577232,0.00005785061,0.9622695,0.00002713657,0.00005087495,0.00003738626,0.0001622409,0.0002282896,0.009691157,0.00003042834,0.00007564955,0.02721179],"study_design_scores_gemma":[0.000001645784,0.00007695713,0.9978446,0.000003659537,0.00001320429,0.0001104032,0.00003733767,0.0004998657,0.001242199,0.000006289999,0.0001605268,0.000003175201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968497,0.0003240375,0.001834029,0.00001241657,0.000004756769,0.00002873013,0.000169798,0.00001017476,0.000766396],"genre_scores_gemma":[0.9962094,0.0000845055,0.002868461,0.00002510648,0.000006777052,0.00002256789,0.0002554343,0.000002871777,0.0005249216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007748561,"threshold_uncertainty_score":0.01540697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005339108051124817,"score_gpt":0.2825419163655926,"score_spread":0.2772028083144678,"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."}}