{"id":"W4402423344","doi":"10.24908/iqurcp18043","title":"The Size-Number Trade-Off and Resource Allocation in Saponaria officinalis Under Continuous Pollination","year":2024,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Pollination; Biology; Resource (disambiguation); Officinalis; Botany; Agroforestry; Computer science; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001620446,0.0001551924,0.0002005524,0.0003208469,0.0002413681,0.0003449069,0.0002559386,0.0002324057,0.0006286914],"category_scores_gemma":[0.0001943793,0.0001369744,0.0002490401,0.000124719,0.0002561979,0.0002870549,0.0002664758,0.0002975953,0.00009630185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003688077,"about_ca_system_score_gemma":0.0001271848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727596,"about_ca_topic_score_gemma":0.002241574,"domain_scores_codex":[0.9999168,0.00001515716,0.000007068672,0.00002624991,0.00001735283,0.00001733106],"domain_scores_gemma":[0.9997755,0.00004397218,0.00007278605,0.00002123328,0.00002149554,0.00006501071],"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":[0.0002550443,0.00009847643,0.007972842,0.00002456945,0.00001366596,0.0001115324,0.00009310446,0.0001536733,0.9890261,0.0000711197,0.00001734285,0.002162542],"study_design_scores_gemma":[0.00008406594,0.0019248,0.8785202,0.00001018009,0.00006321289,0.0005934199,0.0005803812,0.006422044,0.1103869,0.0004290084,0.0009526419,0.00003325365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997163,0.00004843356,0.00005436254,0.00001031426,6.191433e-7,0.000001324516,0.00001139429,0.000002963468,0.0001542582],"genre_scores_gemma":[0.9995783,0.00003313562,0.0001035906,0.00001304624,0.00000104981,0.000003050028,0.00002761934,0.000001632989,0.0002385059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001727596,"threshold_uncertainty_score":0.003435075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382397200974597,"score_gpt":0.3447239102836773,"score_spread":0.3064841901862176,"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."}}