{"id":"W2585006160","doi":"10.1139/cjz-2016-0166","title":"Fitting in with the crowd: the role of prospecting in seabird behavioural trends","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Seabird; Biology; Ecology; Abundance (ecology); Predation; Biological dispersal; Habitat; Prospecting; Seasonal breeder; Zoology; Population; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006015305,0.0001249184,0.0001701235,0.0005306719,0.0004759641,0.0006050631,0.0002254877,0.0003724376,0.001448513],"category_scores_gemma":[0.001797083,0.0001121103,0.0001489759,0.0003218263,0.0004954413,0.0006643517,0.0005252951,0.0003398068,0.0001334978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002839935,"about_ca_system_score_gemma":0.0002711104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01783278,"about_ca_topic_score_gemma":0.04156616,"domain_scores_codex":[0.9997743,0.00007394826,0.00001208718,0.00006405415,0.00003688153,0.00003890157],"domain_scores_gemma":[0.9989562,0.0002313005,0.0003874893,0.00006282313,0.0001329876,0.0002291444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007299263,0.00002860783,0.9864797,0.00001979774,0.00003981403,0.00004929531,0.001440911,0.0001488166,0.0008731218,0.00008720534,0.0002935527,0.01046618],"study_design_scores_gemma":[5.230904e-7,0.0000219164,0.9985145,0.000007343722,0.000004926807,0.00001996749,0.001004015,0.0001413451,0.00001960323,0.00003284721,0.0002306604,0.00000233479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985027,0.0002876953,0.0001418816,0.000159148,0.0000125798,0.000002995129,0.00007427859,0.000004476066,0.0008141919],"genre_scores_gemma":[0.9995517,0.0000753411,0.0001423173,0.00001833182,0.000009931609,0.000002788106,0.00004798234,0.000001178014,0.0001504872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01783278,"threshold_uncertainty_score":0.03545797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118368651009829,"score_gpt":0.2250191699306994,"score_spread":0.2131823048297165,"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."}}