{"id":"W6942354047","doi":"10.1371/journal.pone.0262891.t005","title":"Analysis of gene flow (<i>Nm</i>), genetic distance (<i>D</i>) and population genetic differentiation (<i>PhiPT</i>) among <i>S</i>. <i>sclerotiorum</i> isolates collected in three Canadian provinces.","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic distance; Gene flow; Population; Genetic variation; Genetic analysis; Gene; Population genetics","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":[0.001543237,0.001515721,0.001632719,0.004275166,0.002380925,0.002168748,0.003755285,0.001486721,0.04261939],"category_scores_gemma":[0.007597283,0.0007408194,0.001243024,0.01319277,0.0006052785,0.0007622405,0.001535726,0.001859321,0.02214578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006440393,"about_ca_system_score_gemma":0.01833984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8574687,"about_ca_topic_score_gemma":0.9151415,"domain_scores_codex":[0.9988869,0.0001048703,0.00009402358,0.0002972457,0.0003109557,0.0003059848],"domain_scores_gemma":[0.9949095,0.0009399354,0.0003283509,0.0006259678,0.002742122,0.0004541916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006809631,0.00002126657,0.006641745,0.001250791,0.0001426986,0.00003831865,0.0001202792,0.0006738907,0.000255225,0.0007548646,0.986997,0.003035856],"study_design_scores_gemma":[0.0003938809,0.00001427914,0.06819329,0.001029285,0.0002067082,0.00005339107,0.0004525675,0.0005104984,0.0003388861,0.0009387602,0.927801,0.00006747468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000196659,0.00005169687,0.00003193136,0.00002979838,0.000009345435,0.000006659857,0.9991193,0.00003680482,0.0005177979],"genre_scores_gemma":[0.001291846,0.00007657411,0.0003575882,0.0000402349,0.0000030145,0.00005725889,0.9972987,0.00003999771,0.0008347944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1425313,"threshold_uncertainty_score":0.2867414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236796783082533,"score_gpt":0.2000312758752838,"score_spread":0.1876633080444584,"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."}}