{"id":"W6948572534","doi":"10.5061/dryad.76hdr7t3s","title":"Data from: Temperature-dependent gene regulatory divergence underlies local adaptation with gene flow in the Atlantic silverside","year":2024,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gene flow; Local adaptation; Gene; Adaptation (eye); Regulation of gene expression; Gene regulatory network; Regulator gene","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":[0.000714126,0.001065818,0.0009667368,0.00203882,0.0009314611,0.001287074,0.001306607,0.001137202,0.0113325],"category_scores_gemma":[0.002118633,0.0003882563,0.00111856,0.002984409,0.0004544534,0.0005372346,0.001514422,0.0009982493,0.01174892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008431785,"about_ca_system_score_gemma":0.001603873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02581834,"about_ca_topic_score_gemma":0.07258361,"domain_scores_codex":[0.9994743,0.00006359736,0.0000559222,0.0002131636,0.000104403,0.00008868946],"domain_scores_gemma":[0.9992754,0.0002327132,0.0001054062,0.0001438879,0.0001541246,0.00008844547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008934512,0.0001493373,0.04566089,0.007244375,0.0007562798,0.0004669578,0.0006739784,0.003208185,0.01301083,0.0018391,0.908216,0.01788065],"study_design_scores_gemma":[0.0005367523,0.0000613193,0.1286956,0.0006294597,0.0002671027,0.0002643551,0.0003704255,0.001281145,0.002622127,0.001390408,0.8637847,0.00009668708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004367949,0.0002482821,0.0001410609,0.00006039697,0.00002097984,0.000009245391,0.9940767,0.0003246425,0.0007508065],"genre_scores_gemma":[0.002759082,0.00008340154,0.0004066619,0.0000397623,0.000003115618,0.00004274139,0.9962459,0.00005628724,0.0003630589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02581834,"threshold_uncertainty_score":0.05133611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05810670680717703,"score_gpt":0.2089359068350246,"score_spread":0.1508292000278476,"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."}}