{"id":"W6929690943","doi":"10.5061/dryad.q8c13","title":"Data from: Partitioning the effects of isolation by distance, environment, and physical barriers on genomic divergence between parapatric threespine stickleback","year":2016,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parapatric speciation; Biological dispersal; Stickleback; Divergence (linguistics); Habitat; Genetic divergence; Population; Reproductive isolation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008160026,0.0003180256,0.0004989124,0.0009812242,0.000853208,0.0008515859,0.0004964295,0.0003857673,0.01267463],"category_scores_gemma":[0.002528072,0.000225024,0.0003883109,0.001521204,0.0004474765,0.000263015,0.0008270773,0.0007911492,0.002576371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005014067,"about_ca_system_score_gemma":0.0007363931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993013,"about_ca_topic_score_gemma":0.07020613,"domain_scores_codex":[0.9993736,0.00007943974,0.00005400029,0.0001786234,0.000235308,0.00007914249],"domain_scores_gemma":[0.9976742,0.0006529146,0.0002606638,0.0005398927,0.00047306,0.0003991965],"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":[0.004747354,0.0008673512,0.6563413,0.001335793,0.001114024,0.0009555921,0.003606119,0.003275941,0.113188,0.001658825,0.13681,0.07609969],"study_design_scores_gemma":[0.0002547728,0.0001321571,0.9663993,0.00004579143,0.00009472031,0.0001500519,0.0003222338,0.001341362,0.004264713,0.0003970448,0.02656438,0.00003345339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7864254,0.0001880339,0.002250427,0.0004249235,0.0001071966,0.00008277632,0.2047363,0.0008773408,0.004907662],"genre_scores_gemma":[0.4771586,0.0001589288,0.008915429,0.000384428,0.00004134313,0.000356441,0.5085962,0.0003468531,0.004041821],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01993013,"threshold_uncertainty_score":0.04240084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102942672790486,"score_gpt":0.241079035854501,"score_spread":0.2300496091265961,"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."}}