{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004431607,0.0001006058,0.0003410307,0.00009533026,0.00002178913,0.00001025327,0.0001602193,0.0001511439,0.0002620899],"category_scores_gemma":[0.0002331908,0.00007276177,0.0000833257,0.0001859296,0.0001712915,0.0001045233,0.00005940742,0.0003321401,0.000001482015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000374085,"about_ca_system_score_gemma":0.00001854775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008876594,"about_ca_topic_score_gemma":0.00007293194,"domain_scores_codex":[0.998974,0.0001935419,0.0003846392,0.0001372103,0.0001643875,0.0001461927],"domain_scores_gemma":[0.9991134,0.0004613418,0.0002330744,0.0001158775,0.00001720422,0.00005906813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007298542,0.00002947705,0.004592308,0.000176085,0.00005024643,0.0001444896,0.002514393,0.0001385687,0.9408264,0.00007589691,0.000731506,0.05064765],"study_design_scores_gemma":[0.001100996,0.002721248,0.07678009,0.0005781844,0.0002669075,0.002609454,0.001311509,0.002476603,0.9069775,0.001591663,0.003192791,0.0003929953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884917,0.0006718503,0.007774494,0.0003866482,0.0006656396,0.0000742337,0.000004413246,0.000005643411,0.001925449],"genre_scores_gemma":[0.9890441,0.0000262354,0.01074687,0.00006822329,0.00005454076,2.760557e-7,4.055595e-7,0.000008081232,0.00005128601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07218778,"threshold_uncertainty_score":0.2967139,"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."}}