{"id":"W6929802044","doi":"10.5061/dryad.v41ns1rvt","title":"Neighboring edges: interacting edge effects of linear disturbances on vegetation in treed fens","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Boreal; Understory; Transect; Décollement; Perpendicular; Vegetation (pathology); Ridge","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006270593,0.0003312006,0.0007006481,0.0008490451,0.0007913483,0.0008699446,0.0004621575,0.0004491032,0.001536427],"category_scores_gemma":[0.002134322,0.0001799166,0.0006302122,0.0005288404,0.0008772293,0.0004234393,0.001448977,0.0003845992,0.0001164426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006676077,"about_ca_system_score_gemma":0.0003300514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378041,"about_ca_topic_score_gemma":0.03311464,"domain_scores_codex":[0.998795,0.0003853765,0.00006315164,0.0003531528,0.0001418426,0.0002614524],"domain_scores_gemma":[0.9975249,0.001213298,0.0004681356,0.0001248511,0.0001879646,0.0004807354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007915288,0.0001441522,0.9786226,0.00006318618,0.0003346357,0.0004088886,0.0006234096,0.002182075,0.01086708,0.0001781141,0.0001408348,0.005643581],"study_design_scores_gemma":[0.00000512817,0.00008119162,0.9977841,0.000005315982,0.00004119216,0.00004244838,0.0004393441,0.001213762,0.0001931622,0.00006438792,0.0001226163,0.000007357418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9993238,0.00004830722,0.0002193642,0.000008311728,0.000002492252,0.000003882473,0.00005672219,0.000004362931,0.0003327348],"genre_scores_gemma":[0.9995527,0.00001368826,0.0002362003,0.00001343241,0.000002968742,0.000006061363,0.00006948529,0.00000478185,0.0001006536],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01378041,"threshold_uncertainty_score":0.02740043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424168004103755,"score_gpt":0.2993142801154695,"score_spread":0.275072600074432,"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."}}