{"id":"W2605820172","doi":"10.1103/physreve.95.042404","title":"Limiting similarity of competitive species and demographic stochasticity","year":2017,"lang":"en","type":"article","venue":"Physical review. E","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Limiting; Coexistence theory; Interspecific competition; Productivity; Similarity (geometry); Stability (learning theory); Ecology; Competition (biology); Competitive exclusion; Ecosystem; Statistical physics; Biology; Economics; Physics; Computer science; Artificial intelligence","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":[0.000437978,0.00005149381,0.0001760467,0.000008931911,0.0006963919,0.00002697762,0.0001390571,0.00001498988,0.00002782971],"category_scores_gemma":[0.001166444,0.00004589564,0.00005427985,0.00004851148,0.0007014914,0.000193957,0.00005077735,0.00007829053,0.000005207483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008784909,"about_ca_system_score_gemma":0.00002770281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007029588,"about_ca_topic_score_gemma":0.0001742746,"domain_scores_codex":[0.9993869,0.0001662367,0.00009384005,0.0001035437,0.0001517118,0.00009776404],"domain_scores_gemma":[0.9993951,0.0002120065,0.0001172788,0.0001283249,0.00009929238,0.00004801793],"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":[0.000004279918,0.00006504729,0.003700533,0.00007814015,0.000006346237,3.122228e-7,0.00052305,8.331224e-7,0.0004167735,0.9921587,0.0000318788,0.003014146],"study_design_scores_gemma":[0.0004345036,0.0003234334,0.6157215,0.003552842,0.0002509357,0.00000131245,0.001410253,0.001093894,0.001149734,0.3574604,0.01805998,0.0005411844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9058087,0.002963229,0.001004311,0.004073412,0.00006836947,0.0003341573,0.00001827775,0.00002443163,0.0857051],"genre_scores_gemma":[0.994944,0.004624968,0.00004839886,0.0001279518,0.0001795608,0.000004709343,0.000001705367,0.000002081288,0.00006666699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6346982,"threshold_uncertainty_score":0.5356154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04136676084728837,"score_gpt":0.3733218921303337,"score_spread":0.3319551312830454,"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."}}