{"id":"W3092991884","doi":"10.1186/s12898-020-00324-4","title":"How do genes flow? Identifying potential dispersal mode for the semi-aquatic lichen Dermatocarpon luridum using spatial modelling and photobiont markers","year":2020,"lang":"en","type":"article","venue":"BMC Ecology","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Ecology; Gene flow; Biology; Genetic structure; Spatial ecology; Spatial distribution; Range (aeronautics); Population; Genetic variation; Geography; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001822581,0.0001843833,0.0002682589,0.00001181377,0.0004619915,0.0001629781,0.0002414672,0.000193215,0.0000687007],"category_scores_gemma":[0.00007962412,0.0000770718,0.0001330523,0.000100982,0.0001079095,0.0001335603,0.0001578859,0.0001338866,0.000005428532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003436326,"about_ca_system_score_gemma":0.00002615405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00051368,"about_ca_topic_score_gemma":0.004114854,"domain_scores_codex":[0.998709,0.0001373572,0.0002250904,0.0004094058,0.0001030517,0.0004160914],"domain_scores_gemma":[0.9991451,0.0005156767,0.0001160031,0.00005625032,0.0000388804,0.0001281029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001885746,0.0002683344,0.1260791,0.0003391546,0.0005559917,0.00004942965,0.003012414,0.1379508,0.697237,0.0006395414,0.001176268,0.03080615],"study_design_scores_gemma":[0.0003579981,0.0001773392,0.005911781,0.000004899228,0.0001014058,0.00002374564,0.0009650596,0.9904,0.0009686707,0.0002310253,0.0006692741,0.0001887776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9317995,0.0004350622,0.06229987,0.004252303,0.000416208,0.0006958628,0.00004153703,0.00004537141,0.00001424483],"genre_scores_gemma":[0.9968273,0.00007133541,0.001562887,0.0007272144,0.0006794816,0.00006265259,0.00003234213,0.000003673252,0.00003313768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8524492,"threshold_uncertainty_score":0.3553312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0516727601130483,"score_gpt":0.2364855519360669,"score_spread":0.1848127918230186,"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."}}