{"id":"W4246777544","doi":"10.6028/nist.ir.7196","title":"Chemicals in arctic seabirds:","year":2005,"lang":"en","type":"report","venue":"","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; International Association for Great Lakes Research","keywords":"Arctic; The arctic; Environmental science; Geography; Oceanography; Fishery; Biology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001298883,0.0003487474,0.0002585462,0.0007196753,0.0006886973,0.0005639868,0.0001548468,0.0005048888,0.001134279],"category_scores_gemma":[0.0003356842,0.0001610567,0.0001910028,0.0003606669,0.0003171119,0.0002275804,0.0002194952,0.0003839157,0.0002113857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005377277,"about_ca_system_score_gemma":0.0003784627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04093062,"about_ca_topic_score_gemma":0.06372373,"domain_scores_codex":[0.9999113,0.00001239595,0.000005712869,0.00002156565,0.0000253681,0.00002360611],"domain_scores_gemma":[0.9995607,0.00003030957,0.00008540224,0.00001462315,0.000131943,0.0001770366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002437566,0.000370512,0.9680938,0.00007923322,0.0001371634,0.0005021743,0.0003744635,0.0001316734,0.02264401,0.00005056728,0.0003734767,0.004805413],"study_design_scores_gemma":[0.000005885094,0.0004853886,0.9972012,0.00000464546,0.00004386381,0.0002587418,0.0002631224,0.00004207935,0.001246507,0.00001062596,0.0004345853,0.000003461199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988102,0.0002786101,0.00001632815,0.00001155631,0.000007536246,0.000006275954,0.000245453,0.000002289906,0.0006217661],"genre_scores_gemma":[0.996935,0.0004896072,0.0001273864,0.00007037972,0.00001166136,0.00001308929,0.0008876512,0.000004013373,0.001461238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04093062,"threshold_uncertainty_score":0.08138478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448198857676813,"score_gpt":0.291593982386448,"score_spread":0.2671119938096799,"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."}}