{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004902146,0.00009306089,0.0002104325,0.0000510385,0.00003495976,0.00001339373,0.0001686984,0.00001292081,0.0005722751],"category_scores_gemma":[0.00002005364,0.00007089135,0.00006333313,0.0002743537,0.0001328925,0.0003109307,0.00005043126,0.0001206276,0.00009802976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133247,"about_ca_system_score_gemma":0.000006715423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001209297,"about_ca_topic_score_gemma":0.00003847338,"domain_scores_codex":[0.9990242,0.00005303547,0.0002995629,0.00007644796,0.0002777382,0.0002689945],"domain_scores_gemma":[0.999446,0.00002927359,0.0002463004,0.000118635,0.000004552232,0.0001552087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003043054,0.0001480956,0.9183915,0.000001626574,0.00001770757,0.0000289819,0.0008134359,0.0004226944,0.001388307,0.00001310218,0.002626407,0.07611769],"study_design_scores_gemma":[0.0007709393,0.0004219727,0.9155512,0.00003156601,0.00002308531,0.00006181003,0.002117545,0.0002228955,0.000234587,0.00003827241,0.08032482,0.0002012516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913247,0.00006918704,0.0005208203,0.0007154754,0.0001104744,0.00006261077,9.017358e-7,0.000005089993,0.007190784],"genre_scores_gemma":[0.9969336,0.00007039052,0.001495735,0.0009038025,0.000137893,0.000001525664,2.623124e-7,0.000008522544,0.0004482777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07769842,"threshold_uncertainty_score":0.6266011,"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."}}