{"id":"W2097579478","doi":"10.1111/j.1558-5646.2007.00118.x","title":"INBREEDING AND OUTBREEDING DEPRESSION IN CAENORHABDITIS NEMATODES","year":2007,"lang":"en","type":"article","venue":"Evolution","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":224,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Directorate for Biological Sciences; National Science Foundation","keywords":"Inbreeding depression; Biology; Outbreeding depression; Inbreeding; Selfing; Zoology; Outcrossing; Genetics; Ecology; Population; Demography","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":[0.0002257024,0.0002879836,0.0002175664,0.0004905646,0.0003036232,0.000241093,0.0003432796,0.000177774,0.00040135],"category_scores_gemma":[0.0004007018,0.0001738966,0.0001496936,0.0001444597,0.000242897,0.0001879642,0.0003340171,0.0003401358,0.00005692517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004213029,"about_ca_system_score_gemma":0.0001931489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899586,"about_ca_topic_score_gemma":0.005341893,"domain_scores_codex":[0.9998074,0.00004796633,0.00001589327,0.00005540496,0.00004142898,0.00003191333],"domain_scores_gemma":[0.9995118,0.00008264256,0.0002191762,0.00004618718,0.00005755126,0.00008269554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000116437,0.00010901,0.01818433,0.00004943025,0.00002658087,0.0002184649,0.0001509951,0.0002144314,0.9766847,0.0001468808,0.00005701146,0.004041816],"study_design_scores_gemma":[0.00002469864,0.0009421522,0.877246,0.00003641946,0.0001224098,0.0009784868,0.0002718728,0.002215932,0.1163332,0.0002933535,0.001494389,0.00004096773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989498,0.000229536,0.0002637628,0.000009717539,0.000001965596,0.000004763454,0.00005226168,0.000006492306,0.000481629],"genre_scores_gemma":[0.9989408,0.0001780159,0.000336806,0.00002352571,0.000003145841,0.00001043991,0.0001003811,0.000005482799,0.0004015131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001899586,"threshold_uncertainty_score":0.003777087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006737675068869013,"score_gpt":0.2332011046802713,"score_spread":0.2264634296114023,"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."}}