{"id":"W2899718589","doi":"10.1186/s12898-018-0201-0","title":"Demographic consequences of reproductive interference in multi-species communities","year":2018,"lang":"en","type":"article","venue":"BMC Ecology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Biology; Mating; Population; Competition (biology); Ecology; Reproductive success; Evolutionary biology; Caenorhabditis elegans; Interference (communication); Genetics; Demography; Gene","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":[0.0005353946,0.0001784034,0.0001972465,0.0006546105,0.0004234183,0.000321776,0.0003232358,0.0003012369,0.001014494],"category_scores_gemma":[0.001674183,0.0001080755,0.0001604823,0.0001811662,0.0004417234,0.0003777821,0.0007242482,0.0002279574,0.00008161632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006139887,"about_ca_system_score_gemma":0.0002434391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001327247,"about_ca_topic_score_gemma":0.002932451,"domain_scores_codex":[0.9998185,0.00003925394,0.00001378983,0.00004491337,0.00005020182,0.00003339897],"domain_scores_gemma":[0.9984391,0.000349783,0.0006051511,0.00009269661,0.0002198656,0.0002934743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004241152,0.00026138,0.6002065,0.0001750765,0.0002036761,0.0006360405,0.0006746507,0.0058244,0.3753785,0.001660153,0.0002271938,0.01432836],"study_design_scores_gemma":[0.00001079464,0.0003069307,0.9830496,0.000008510435,0.00003863719,0.0004679484,0.000386134,0.008431204,0.005613551,0.001274965,0.0003950035,0.0000166096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993017,0.00005015979,0.0002864845,0.00001303657,8.543932e-7,0.000002849382,0.0000289555,0.000004881173,0.0003111591],"genre_scores_gemma":[0.9996432,0.00001601502,0.0002224796,0.00000790443,0.000001092682,0.000004249416,0.00004063456,9.321696e-7,0.00006355705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001327247,"threshold_uncertainty_score":0.004454792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05300135451052011,"score_gpt":0.2801049465080512,"score_spread":0.2271035919975311,"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."}}