{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006509281,0.00004398994,0.00005247126,0.00001205644,0.0002070023,0.00002943879,0.0002024126,0.00001537284,0.0001007475],"category_scores_gemma":[0.00003522235,0.00001466023,0.00001431038,0.0005467586,0.0001674308,0.0001380554,0.0000600016,0.00004262815,0.00005506188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001580489,"about_ca_system_score_gemma":0.000005521261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005427206,"about_ca_topic_score_gemma":0.001514592,"domain_scores_codex":[0.9993355,0.000005062674,0.00007846222,0.0001629452,0.0001627432,0.0002552963],"domain_scores_gemma":[0.9998489,0.00006435653,0.0000153053,0.000009586129,0.00001610058,0.00004573371],"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":[0.000004094017,0.00001533206,0.08487605,3.58732e-7,1.994355e-7,0.00001039118,0.00007019292,3.014164e-7,0.8746542,0.0002475985,0.0001203738,0.04000084],"study_design_scores_gemma":[0.00002151633,0.00005017823,0.9748091,0.000004230955,2.751432e-7,0.000004134293,0.0003803598,0.00001783038,0.01694598,0.0002673499,0.007440895,0.00005812451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833086,0.000119889,0.000002835295,0.0002832005,0.00003823681,0.00003900345,0.000001741469,0.00002060431,0.01618596],"genre_scores_gemma":[0.9988545,0.00000988686,0.00003854029,0.0001096579,0.00007150829,9.344653e-7,7.950071e-7,8.269498e-8,0.0009141173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.889933,"threshold_uncertainty_score":0.1592115,"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."}}