{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192071,0.0002746031,0.000326701,0.0007090083,0.0004658714,0.0006940408,0.0005541838,0.0006648299,0.0007522119],"category_scores_gemma":[0.005726914,0.0001570334,0.0003877357,0.0004893603,0.001294663,0.002068019,0.0008397019,0.000581147,0.00009515087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009506535,"about_ca_system_score_gemma":0.0003510423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00311122,"about_ca_topic_score_gemma":0.002110253,"domain_scores_codex":[0.999711,0.0001426997,0.0000112084,0.00004290371,0.00005428795,0.00003783265],"domain_scores_gemma":[0.997946,0.00122978,0.0003650755,0.0001281066,0.0001392446,0.0001918662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009375668,0.00005949906,0.03090666,0.0001731144,0.0001101332,0.0006470001,0.0009851217,0.3651537,0.006652569,0.5601197,0.0009238542,0.03417484],"study_design_scores_gemma":[0.00001991359,0.00004611781,0.01021953,0.00003087973,0.00002264442,0.0002766372,0.0002130685,0.668678,0.000484288,0.3189383,0.001048079,0.00002252916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051435,0.002643943,0.1836475,0.001372781,0.00003594696,0.00002916219,0.00005386946,0.00008039165,0.006992798],"genre_scores_gemma":[0.992763,0.000359249,0.006097795,0.00004526365,0.00002620859,0.0000112181,0.00001621961,0.00001307368,0.0006680453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00311122,"threshold_uncertainty_score":0.006897449,"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."}}