{"id":"W4397003564","doi":"10.22541/au.171595389.97199531/v1","title":"Interspecific competition reduces seed dispersal in an annual plant and slows simulated range expansions","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Biological dispersal; Competition (biology); Interspecific competition; Biology; Seed dispersal; Fecundity; Ecology; Range (aeronautics); Seed dispersal syndrome; Abiotic component; Habitat; Population; Demography","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":[0.0002717577,0.0002394427,0.0002537182,0.0002060764,0.0002144387,0.0002902547,0.000462263,0.0003589215,0.001763755],"category_scores_gemma":[0.001327503,0.0001667469,0.0003095501,0.0001577234,0.0002685645,0.0003014498,0.0002698815,0.0003081876,0.0000873446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005731756,"about_ca_system_score_gemma":0.0003712001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01080047,"about_ca_topic_score_gemma":0.01411983,"domain_scores_codex":[0.9999185,0.00002679683,0.000003406951,0.00002102659,0.000009466525,0.00002081826],"domain_scores_gemma":[0.9993051,0.0004167833,0.00009597271,0.0000585231,0.00003742048,0.00008611639],"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":[0.0005461704,0.0002640329,0.05084175,0.000106573,0.0001561191,0.0001646492,0.000113428,0.917358,0.02344261,0.001475945,0.0007810931,0.004749535],"study_design_scores_gemma":[0.00009480991,0.0002787987,0.02372125,0.000008926068,0.00004623672,0.00004616781,0.0000531669,0.9722503,0.002428636,0.000656586,0.0003978024,0.0000172604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986442,0.0000150177,0.0007890061,0.00002539021,0.000004158069,0.000002069047,0.0000668081,0.0000279722,0.0004253989],"genre_scores_gemma":[0.999227,0.00001183453,0.0005033567,0.00001219402,9.862189e-7,0.000006216555,0.00008310944,0.000009289241,0.0001460894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01080047,"threshold_uncertainty_score":0.02147526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332843078886245,"score_gpt":0.2570596024057016,"score_spread":0.2437311716168391,"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."}}