{"id":"W2132646021","doi":"10.1111/j.1600-0706.2009.17233.x","title":"Community differentiation on landscapes: drift, migration and speciation","year":2009,"lang":"en","type":"article","venue":"Oikos","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Metacommunity; Neutral theory of molecular evolution; Ecology; Biological dispersal; Abundance (ecology); Genetic algorithm; Community; Context (archaeology); Biology; Geography; Ecosystem; Population; Demography","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":[0.00005604851,0.00004657839,0.00005242318,0.000004010885,0.0002326861,0.00003210774,0.000033795,0.00002543196,0.00003147097],"category_scores_gemma":[0.00001488077,0.00001657234,0.00001437115,0.00004620046,0.000004670743,0.00004555171,0.000007431748,0.00005657841,0.00001205609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005523299,"about_ca_system_score_gemma":3.221419e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008498249,"about_ca_topic_score_gemma":0.005035311,"domain_scores_codex":[0.9997321,0.000035746,0.00005129272,0.00005608185,0.00006291441,0.00006187861],"domain_scores_gemma":[0.9998888,0.00004758432,0.00002665819,0.000008513841,0.00001134773,0.00001708044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007070184,0.0002335316,0.1399343,0.000003400655,0.000009141864,8.23879e-7,0.0005167387,0.000001353613,0.6119428,0.001842016,0.003703229,0.241742],"study_design_scores_gemma":[0.00005327579,0.0002277868,0.9936824,0.000007513411,0.000002928446,4.545584e-7,0.0001042337,0.00006949187,0.001344124,0.0006861241,0.003774413,0.00004725057],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952583,0.00003232788,8.552444e-7,0.002016358,0.00001332612,0.00004235456,0.000009344788,0.00002781191,0.002599345],"genre_scores_gemma":[0.9994262,0.0000830785,0.000005223285,0.0001917358,0.0001226431,0.000001192232,0.00005370581,1.11068e-7,0.0001160673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8537481,"threshold_uncertainty_score":0.2809822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394821682401185,"score_gpt":0.2054715303561218,"score_spread":0.17152331353211,"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."}}