{"id":"W6892281504","doi":"10.5061/dryad.n8c57","title":"Data from: An assessment of the reliability of quantitative genetics estimates in study systems with high rate of extra-pair reproduction and low recruitment","year":2016,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Heritability; Quantitative genetics; Reliability (semiconductor); Identifiability; Variance (accounting); Population; Quantitative trait locus; Population genetics","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":[0.03387753,0.0003762658,0.0005745334,0.001728357,0.0008803981,0.002326372,0.0013762,0.001153133,0.002919526],"category_scores_gemma":[0.126522,0.0005363799,0.0006732409,0.002718227,0.001413149,0.001860093,0.002001084,0.0008376054,0.0008358561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006901602,"about_ca_system_score_gemma":0.0008459879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002764896,"about_ca_topic_score_gemma":0.002808453,"domain_scores_codex":[0.9790471,0.01264362,0.002379545,0.00325752,0.00239634,0.0002758964],"domain_scores_gemma":[0.8290679,0.1099901,0.01458487,0.03817358,0.007357697,0.0008258486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001379676,0.0002181583,0.8365237,0.002303152,0.001734821,0.0004626426,0.005057663,0.02585242,0.0111885,0.01128723,0.01370891,0.09028309],"study_design_scores_gemma":[0.0002610189,0.0005463189,0.8399483,0.0005557813,0.0004864273,0.001325874,0.001434355,0.04943933,0.01090415,0.01692776,0.07793298,0.0002377418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8456616,0.0008205,0.10012,0.001104554,0.0001851361,0.0007168024,0.04234883,0.001229569,0.00781308],"genre_scores_gemma":[0.9170993,0.0001786629,0.05619687,0.0002844593,0.00003239753,0.0009478556,0.0242122,0.0003603019,0.0006879398],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03387753,"threshold_uncertainty_score":0.1791636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08817786933318239,"score_gpt":0.3773187280714808,"score_spread":0.2891408587382984,"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."}}