{"id":"W6892117984","doi":"10.5061/dryad.6wwpzgn1j","title":"Quantifying heritability and estimating evolutionary potential in the wild when individuals that share genes also share environments","year":2022,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Heritability; Habitat; Similarity (geometry); Selection (genetic algorithm); Genetic variation; Quantitative genetics; Genetic similarity","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":[0.005298081,0.0005129945,0.000843725,0.002499595,0.0004401697,0.001141848,0.0006841961,0.0005336333,0.001056622],"category_scores_gemma":[0.01301477,0.0004632827,0.0007427591,0.002346457,0.001191887,0.0009322203,0.001016224,0.00052107,0.0001777731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003759296,"about_ca_system_score_gemma":0.0001788998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004032382,"about_ca_topic_score_gemma":0.00560859,"domain_scores_codex":[0.9969099,0.001335998,0.0001922173,0.001149226,0.0002954149,0.0001172191],"domain_scores_gemma":[0.9866996,0.008371646,0.001969471,0.002378288,0.0004318335,0.0001491801],"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":[0.0001173006,0.00004970567,0.9385337,0.0001105454,0.001425403,0.0002348937,0.0008536961,0.009474433,0.01870556,0.002022124,0.0002466282,0.02822608],"study_design_scores_gemma":[0.000008534736,0.0000778986,0.9824954,0.00002740385,0.0001703753,0.0002473823,0.0002580721,0.0119433,0.001222446,0.003104696,0.0004059472,0.00003854437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.936073,0.0003769209,0.06184714,0.00004030167,0.0000137018,0.00002475927,0.0007977585,0.0001160681,0.0007102432],"genre_scores_gemma":[0.984283,0.00008749043,0.01483053,0.00002929252,0.000008814269,0.00004480518,0.0005558324,0.00003572473,0.0001245032],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005298081,"threshold_uncertainty_score":0.02801925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06098816744476433,"score_gpt":0.2957269127301881,"score_spread":0.2347387452854238,"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."}}