{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001556992,0.0002083194,0.0006478982,0.0007437954,0.0005504841,0.001180924,0.0008904837,0.001000883,0.001540265],"category_scores_gemma":[0.00889827,0.0001800134,0.0006027087,0.0004971094,0.002335954,0.001799809,0.001358724,0.0009964382,0.0001712715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298231,"about_ca_system_score_gemma":0.0007349735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001325843,"about_ca_topic_score_gemma":0.0005324858,"domain_scores_codex":[0.9989495,0.0003338212,0.00006473056,0.0002724627,0.0002501255,0.0001294461],"domain_scores_gemma":[0.9966702,0.001663715,0.0007343512,0.000260473,0.0003588164,0.0003124368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004550114,0.00005432168,0.007806494,0.0001756384,0.00006104424,0.0005138377,0.0005085832,0.03521346,0.006733342,0.9331139,0.0008502962,0.01492368],"study_design_scores_gemma":[0.00002462662,0.00007979451,0.008625664,0.00004930722,0.00003716743,0.001085151,0.0002139815,0.1354378,0.001304295,0.8482491,0.004842744,0.00005037455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6823447,0.00479813,0.2559016,0.003149867,0.0001632862,0.00007139755,0.000158038,0.0001180097,0.05329492],"genre_scores_gemma":[0.9947577,0.0007886327,0.003235106,0.0001057717,0.00004956634,0.00002704814,0.00002986171,0.00000627614,0.001000133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001556992,"threshold_uncertainty_score":0.009419382,"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."}}