{"id":"W4407615346","doi":"10.1002/ecs2.70183","title":"An accurate and efficient semiautomated approach to counting birds: Estimating Northern Gannet colony size in Canada","year":2025,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Environment and Climate Change Canada; Acadia University","funders":"","keywords":"Geography; Statistics; Biology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008180914,0.0003586908,0.0001967427,0.00144324,0.0005384291,0.0005759331,0.001010259,0.0001380167,0.001208938],"category_scores_gemma":[0.002679835,0.0002750506,0.000190178,0.001043392,0.0002567899,0.00031129,0.000521419,0.0001640994,0.0002242977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004471058,"about_ca_system_score_gemma":0.003479861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8858371,"about_ca_topic_score_gemma":0.9586687,"domain_scores_codex":[0.9993867,0.00009344597,0.00003060064,0.0001469453,0.000295686,0.00004659179],"domain_scores_gemma":[0.9984021,0.0002044926,0.0002002308,0.0001174873,0.001004131,0.00007158996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00019555,0.0000703978,0.7551474,0.0001553332,0.00007733618,0.0001101141,0.001103861,0.01502847,0.0118533,0.0004320149,0.003451465,0.2123747],"study_design_scores_gemma":[0.00001304968,0.00004780392,0.9402193,0.00002977714,0.00002269334,0.0000882982,0.0005675395,0.05059911,0.004207694,0.00009720355,0.00407528,0.00003218476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592425,0.00027371,0.03227261,0.00007947985,0.00001337613,0.0002239239,0.003119163,0.0007180122,0.004057278],"genre_scores_gemma":[0.9202364,0.0001349631,0.07490178,0.00002735953,0.000005024667,0.0001512661,0.00215033,0.00006145571,0.002331322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1141629,"threshold_uncertainty_score":0.2296705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004122751104777087,"score_gpt":0.2024665742053419,"score_spread":0.1983438231005649,"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."}}