{"id":"W2079857135","doi":"10.1016/j.zool.2005.10.002","title":"Filter-feeding dabbling ducks (Anas spp.) can actively select particles by size","year":2006,"lang":"en","type":"article","venue":"Zoology","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biology; Predation; Interspecific competition; Anas; Botany; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0003518988,0.0002763467,0.0003327035,0.0004417613,0.0002636962,0.0004510373,0.0002536925,0.0002899062,0.0006064568],"category_scores_gemma":[0.001039295,0.0002552314,0.0001202685,0.0002559811,0.0002800833,0.0004234738,0.0003190372,0.0002302927,0.0003319001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000222155,"about_ca_system_score_gemma":0.0001806718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005353393,"about_ca_topic_score_gemma":0.01627935,"domain_scores_codex":[0.9998595,0.00002499698,0.000007471304,0.00005868001,0.00003561625,0.00001372625],"domain_scores_gemma":[0.9988625,0.0003847015,0.0004341372,0.00008544236,0.0001252988,0.0001079297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005829319,0.0002206847,0.321493,0.0004630338,0.0001288598,0.0001841995,0.00113584,0.003566944,0.4486507,0.001185714,0.001331727,0.2210564],"study_design_scores_gemma":[0.00004271778,0.001257956,0.9059756,0.00005998328,0.0001341761,0.0008954842,0.0009447018,0.02654392,0.05460747,0.002591664,0.006898871,0.0000474468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709839,0.0007775485,0.02497266,0.000106829,0.00001010283,0.00003383871,0.0001189068,0.000118702,0.002877602],"genre_scores_gemma":[0.9720647,0.0004364021,0.02523496,0.00007574107,0.000008893014,0.00004669228,0.0001332911,0.00001479368,0.001984512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005353393,"threshold_uncertainty_score":0.01064444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05375368357893183,"score_gpt":0.3150422963113493,"score_spread":0.2612886127324175,"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."}}