{"id":"W6910924887","doi":"10.5061/dryad.db6177b","title":"Data from: Asymmetric oceanographic processes mediate connectivity and population genetic structure as revealed by RADseq in a highly dispersive marine invertebrate (Parastichopus californicus)","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Fisheries and Oceans Canada; University of Toronto","funders":"","keywords":"Genetic structure; Biological dispersal; Population; Marine invertebrates; Marine protected area; Genetic variation; Population genetics; Invertebrate","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":[0.000439084,0.0001496432,0.0001562516,0.0003907271,0.0002010187,0.0003378375,0.0001912895,0.0001350524,0.003195187],"category_scores_gemma":[0.0009195173,0.0001004083,0.0001346981,0.0006076513,0.0001902538,0.0001262429,0.0002418016,0.0002122789,0.0005742484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001951418,"about_ca_system_score_gemma":0.0002220612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007198769,"about_ca_topic_score_gemma":0.01856776,"domain_scores_codex":[0.9997551,0.00004110176,0.00002794169,0.0001013986,0.00005460772,0.00001994615],"domain_scores_gemma":[0.9990165,0.0003237906,0.0002497849,0.0001513317,0.0001810562,0.000077631],"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":[0.0004422838,0.0000455149,0.9584879,0.0001403447,0.0001683436,0.0001900369,0.0004807591,0.001170083,0.01697368,0.0002070857,0.002523127,0.01917075],"study_design_scores_gemma":[0.00002248918,0.00003524876,0.995008,0.00001412382,0.0000457809,0.00007476125,0.0001166466,0.0009920818,0.001833008,0.00008452917,0.001767466,0.000005957369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9883831,0.00003694335,0.0009174335,0.00004917517,0.000005770662,0.00001045899,0.009104637,0.00005095786,0.001441533],"genre_scores_gemma":[0.9800223,0.00003514616,0.001972583,0.00005031364,0.000004406255,0.0000303447,0.01691154,0.00001650872,0.0009566788],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.007198769,"threshold_uncertainty_score":0.01431376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433416001011739,"score_gpt":0.2538339114727079,"score_spread":0.2394997514625905,"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."}}