{"id":"W2107098364","doi":"10.3732/ajb.1200107","title":"Uniform female‐biased sex ratios in alpine willows","year":2012,"lang":"en","type":"article","venue":"American Journal of Botany","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Arctic Institute of North America","keywords":"Biology; Willow; Sex ratio; Ecology; Seedling; Demography; Zoology; Botany; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002539084,0.0001433002,0.0001674039,0.0006712078,0.0002363343,0.0002371475,0.000136252,0.0001349215,0.001096689],"category_scores_gemma":[0.0007110599,0.00009416655,0.00007006813,0.0002254539,0.0003010328,0.0001615429,0.0001755531,0.00009803543,0.0001414822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444945,"about_ca_system_score_gemma":0.00007941155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303755,"about_ca_topic_score_gemma":0.00357423,"domain_scores_codex":[0.9998504,0.0000325048,0.00001468721,0.00005207725,0.00002861309,0.00002175678],"domain_scores_gemma":[0.999443,0.00008556207,0.0003202022,0.00003563847,0.00006494734,0.00005066176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002019261,0.0000213396,0.9542011,0.00003113718,0.00005005936,0.0001482583,0.0004292017,0.00007226823,0.03788741,0.00007629568,0.00006196563,0.006819068],"study_design_scores_gemma":[0.000003471423,0.00006077707,0.9983143,0.000002185938,0.00000687587,0.0002745342,0.00009743329,0.00006276222,0.001003522,0.00003448256,0.0001376298,0.000002179797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995961,0.00007123422,0.00009202914,0.000004050881,6.309598e-7,0.000001607376,0.00004134914,0.000002992136,0.0001902006],"genre_scores_gemma":[0.9996371,0.00003197351,0.0001013968,0.00001142579,0.000002412904,0.000001900655,0.0001031766,0.000001167588,0.0001093937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001303755,"threshold_uncertainty_score":0.003668785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007987583662205432,"score_gpt":0.2272671010427163,"score_spread":0.2192795173805109,"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."}}