{"id":"W4295469430","doi":"10.1111/evo.14625","title":"Co‐evolution of dormancy and dispersal in spatially autocorrelated landscapes","year":2022,"lang":"en","type":"article","venue":"Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Dormancy; Biology; Competition (biology); Seed dispersal; Ecology; Spatial ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007181917,0.0001934167,0.0002622896,0.0003365013,0.0003101959,0.0008722047,0.0003975732,0.0004431276,0.0008452961],"category_scores_gemma":[0.003161618,0.0001995719,0.0003379809,0.0002598406,0.0006250464,0.0005641505,0.0005824127,0.0002945075,0.0000639402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007209562,"about_ca_system_score_gemma":0.0002464461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004416065,"about_ca_topic_score_gemma":0.00475527,"domain_scores_codex":[0.9998041,0.0001072502,0.000008751214,0.00003578703,0.00001207692,0.00003216172],"domain_scores_gemma":[0.9985707,0.0008197094,0.0003308627,0.0001133382,0.00004424703,0.0001212123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003466796,0.0001866715,0.1596363,0.00008728947,0.0002736724,0.001037399,0.0004854493,0.7609212,0.02846408,0.03791465,0.0004508024,0.01019572],"study_design_scores_gemma":[0.00005694601,0.00009589404,0.06956654,0.00001099053,0.00005708315,0.0002358448,0.0001134948,0.9133806,0.0008195884,0.01531609,0.0003219484,0.0000249812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944445,0.00004231466,0.004686093,0.00007359763,0.000002225191,0.000002360984,0.00001844255,0.00001588874,0.0007145061],"genre_scores_gemma":[0.9993533,0.00001989633,0.0004963563,0.000009399982,7.873136e-7,0.000002815982,0.00001236488,0.000002647743,0.0001023314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004416065,"threshold_uncertainty_score":0.008780777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003373215577293916,"score_gpt":0.2037970751331393,"score_spread":0.2004238595558454,"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."}}