{"id":"W6931885377","doi":"10.5683/sp3/zvij7l","title":"Data for: Beyond Simple vs Complex: Exploring the Nuanced and Unexpected Effects of Spatial Environmental Complexity on Mating Patterns and Female Fecundity","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Mating; Fecundity; Courtship; Sexual selection; Population; Set (abstract data type); Mating preferences; Mating system; Mate choice","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003320876,0.0006616684,0.001082169,0.002449191,0.00131875,0.002974676,0.001368646,0.002539713,0.1060734],"category_scores_gemma":[0.04094585,0.0003543732,0.001019187,0.003753935,0.001440163,0.004098771,0.003539603,0.002773946,0.0216497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006968055,"about_ca_system_score_gemma":0.0009978195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002783394,"about_ca_topic_score_gemma":0.00404836,"domain_scores_codex":[0.9953317,0.0008757706,0.0005217512,0.00143649,0.00152639,0.0003079668],"domain_scores_gemma":[0.9619817,0.01986231,0.003666707,0.007675204,0.005360728,0.001453389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005931802,0.00101417,0.2288021,0.009641255,0.001733754,0.001862057,0.006795298,0.001660653,0.03727863,0.03510113,0.3787868,0.2913924],"study_design_scores_gemma":[0.0003785195,0.001203085,0.4284152,0.002029313,0.0005213473,0.00134309,0.004836931,0.003641674,0.007150238,0.02151458,0.5286119,0.0003540887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2171464,0.004855987,0.0280957,0.02244576,0.003654061,0.000871371,0.6020278,0.004159035,0.1167438],"genre_scores_gemma":[0.7276736,0.00231084,0.0500414,0.01203787,0.00117137,0.004370813,0.1551578,0.002772909,0.04446334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1060734,"threshold_uncertainty_score":0.3548509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08763647457690633,"score_gpt":0.3136763113789166,"score_spread":0.2260398368020103,"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."}}