{"id":"W3133364386","doi":"10.1101/2021.02.14.431120","title":"Female and male <i>Sirex noctilio</i> use age and size to select a mate","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"National Research Foundation; Natural Resources Canada; Department of Agriculture, Forestry and Fisheries; U.S. Department of Agriculture","keywords":"Mate choice; Mating; Biology; Lek mating; Zoology; Mating preferences; Sexual selection; Mating system; Demography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001421959,0.0002714979,0.0001671405,0.0003827747,0.0001838357,0.000270132,0.0001976518,0.0002591827,0.001992542],"category_scores_gemma":[0.0002753513,0.0001498333,0.0002325744,0.00008707923,0.0001624013,0.0003205607,0.0002832953,0.0002207943,0.0002943259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068179,"about_ca_system_score_gemma":0.00006518537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007931972,"about_ca_topic_score_gemma":0.002054908,"domain_scores_codex":[0.999917,0.00001550607,0.000008604819,0.00002785076,0.00001478777,0.00001624867],"domain_scores_gemma":[0.9995298,0.0001188579,0.0001947091,0.00002854974,0.00003469958,0.00009337089],"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":[0.0003420214,0.00006865901,0.07881667,0.0001349444,0.00003198887,0.0002306212,0.0001539307,0.0001358325,0.9135137,0.00007411712,0.0001183197,0.006379189],"study_design_scores_gemma":[0.00001187037,0.0007917996,0.9557548,0.00001414751,0.00002692189,0.0005127689,0.0002082589,0.0004555334,0.04117751,0.00004219117,0.0009913333,0.00001289628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991116,0.0001614425,0.00008709394,0.0000155372,0.0000031937,0.000004163436,0.00008426072,0.0000067546,0.0005258634],"genre_scores_gemma":[0.9977095,0.0001013618,0.0003291657,0.00005192492,0.00000595758,0.00001593018,0.0002351457,0.000008407097,0.001542647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001992542,"threshold_uncertainty_score":0.006665766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086385809356729,"score_gpt":0.1969043356004053,"score_spread":0.166040477506838,"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."}}