{"id":"W2150523054","doi":"10.1111/j.1461-0248.2012.01772.x","title":"Accounting for dispersal and biotic interactions to disentangle the drivers of species distributions and their abundances","year":2012,"lang":"en","type":"letter","venue":"Ecology Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":433,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Biological dispersal; Abiotic component; Ecology; Community; Biotic component; Biodiversity; Species distribution; Biology; Biogeography; Ecosystem; Habitat; Population","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":[0.001993839,0.0005896902,0.0006410748,0.0004695065,0.0007912314,0.001344275,0.0007559169,0.004284421,0.004725368],"category_scores_gemma":[0.009492257,0.0002065914,0.0007743757,0.0006474563,0.0008341547,0.001412174,0.0006922543,0.003071865,0.003884309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424834,"about_ca_system_score_gemma":0.0007894852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004855279,"about_ca_topic_score_gemma":0.01092916,"domain_scores_codex":[0.9990256,0.0004828417,0.00006392329,0.000189074,0.0001413329,0.00009724177],"domain_scores_gemma":[0.9950039,0.003342263,0.0003509344,0.0006703544,0.0004209378,0.0002115462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003830576,0.0002819683,0.05795032,0.001037646,0.0004345602,0.006063554,0.0005785233,0.03923365,0.01106366,0.08917766,0.3618199,0.4319755],"study_design_scores_gemma":[0.0002376789,0.000256119,0.01828279,0.0003019517,0.0002917078,0.01751832,0.000556003,0.3817043,0.004401669,0.233354,0.3429685,0.0001269498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1064104,0.02422146,0.2614308,0.552424,0.01304084,0.0001307124,0.001113198,0.001258416,0.03997017],"genre_scores_gemma":[0.7453426,0.01219509,0.08383712,0.10394,0.01495916,0.0002634148,0.0007755519,0.0003866928,0.03830041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004855279,"threshold_uncertainty_score":0.01580793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009799394317844929,"score_gpt":0.223418296615685,"score_spread":0.2136189022978401,"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."}}