{"id":"W6966954467","doi":"10.5061/dryad.pnvx0k6md","title":"Population differences in Chinook salmon (Oncorhynchus tshawytscha) DNA methylation: genetic drift and environmental factors","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Windsor","funders":"","keywords":"Population; Mechanism (biology); Identification (biology); Inheritance (genetic algorithm)","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":[0.000596966,0.0001890617,0.0002493347,0.0006783255,0.0003149747,0.000261516,0.0002129547,0.0002571354,0.0006062632],"category_scores_gemma":[0.000745024,0.0001804704,0.0002497325,0.0004533789,0.0004007677,0.0002032403,0.0003853194,0.0002213472,0.00009108493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003904097,"about_ca_system_score_gemma":0.0002750105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008684,"about_ca_topic_score_gemma":0.0318235,"domain_scores_codex":[0.9996837,0.00005931662,0.00003256013,0.0001331401,0.00005987765,0.00003150201],"domain_scores_gemma":[0.9995128,0.0001176923,0.0001726945,0.00003910346,0.0001027796,0.00005496992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003052067,0.0000417724,0.577121,0.00007247242,0.0003674431,0.00009562865,0.001187124,0.0002623578,0.4108424,0.000139096,0.00009355276,0.00947192],"study_design_scores_gemma":[0.000003991211,0.00005733031,0.9973015,0.000002149018,0.00003435014,0.00005125063,0.000148915,0.0002225026,0.002035438,0.00004303463,0.00009342984,0.000006127562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9991985,0.0001171018,0.0004114538,0.00001282741,0.000002148026,0.000004269978,0.00008304622,0.000004900692,0.0001658355],"genre_scores_gemma":[0.9991411,0.00004929023,0.0003921792,0.00002570986,0.00000251486,0.00001115561,0.0001789193,0.000005585929,0.0001935868],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01008684,"threshold_uncertainty_score":0.02005625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422531439015733,"score_gpt":0.2852396553981313,"score_spread":0.251014341007974,"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."}}