{"id":"W2034523691","doi":"10.1126/science.1143369","title":"Extraordinary Flux in Sex Ratio","year":2007,"lang":"en","type":"article","venue":"Science","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Environment Research Council","keywords":"Sex ratio; Operational sex ratio; Population; Biology; Constant (computer programming); Statistics; Demography; Mathematics; Computer science","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":[0.0004621192,0.0002439761,0.0004836789,0.0006795132,0.000351639,0.0007711845,0.0004261707,0.0006451022,0.004116068],"category_scores_gemma":[0.002461241,0.0002688176,0.0002483885,0.0004357996,0.0007789514,0.001232126,0.0009495025,0.001270498,0.001144921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003221744,"about_ca_system_score_gemma":0.000136392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001737811,"about_ca_topic_score_gemma":0.000131261,"domain_scores_codex":[0.9994062,0.00009540274,0.00003023155,0.0002147315,0.0001970803,0.00005634395],"domain_scores_gemma":[0.9987609,0.0004555256,0.0002514256,0.0002782409,0.0001377261,0.0001160595],"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":[0.0006412174,0.0001121086,0.05813105,0.0002393386,0.0001161995,0.0009257121,0.0005649533,0.002330168,0.7784399,0.02786759,0.002594219,0.1280376],"study_design_scores_gemma":[0.0001231957,0.0009923376,0.6225869,0.0001141905,0.0001252749,0.01975084,0.000756167,0.01543,0.2131407,0.05242889,0.07429647,0.0002550354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541116,0.003166539,0.01890159,0.0009396517,0.0001956478,0.00001929971,0.0006314605,0.0004683344,0.02156589],"genre_scores_gemma":[0.9911339,0.001009141,0.003837306,0.0002950961,0.0001303809,0.0000213986,0.0003808006,0.00006206078,0.003129917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004116068,"threshold_uncertainty_score":0.01376957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04751853359873739,"score_gpt":0.241648292273303,"score_spread":0.1941297586745656,"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."}}