{"id":"W2079538790","doi":"10.1007/s11434-014-0142-8","title":"Balance between facilitation and competition determines spatial patterns in a plant population","year":2014,"lang":"en","type":"article","venue":"Chinese Science Bulletin","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Science Foundation of Inner Mongolia; University of British Columbia; National Natural Science Foundation of China","keywords":"Point pattern analysis; Competition (biology); Facilitation; Ecology; Population; Spatial ecology; Common spatial pattern; Spatial distribution; Biology; Environmental science; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005496735,0.00008608533,0.000111263,0.00006547276,0.0002125839,0.00002386688,0.0001100939,0.00003121423,0.0001202311],"category_scores_gemma":[0.0002424345,0.00007136818,0.00001109937,0.0001632477,0.0002894616,0.000127143,0.00009726932,0.00006235944,0.0000797352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005432199,"about_ca_system_score_gemma":0.000002852062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008395711,"about_ca_topic_score_gemma":0.002923263,"domain_scores_codex":[0.9991739,0.00005010479,0.0001600044,0.0002758183,0.0001740674,0.0001660514],"domain_scores_gemma":[0.9996861,0.0001175463,0.0000598278,0.00008551093,0.0000080947,0.00004291583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003372823,0.000009650339,0.9964254,0.000005720191,4.142549e-7,4.295361e-7,0.0003197253,0.0002727856,0.0003803393,0.0001386113,0.000006206066,0.00243727],"study_design_scores_gemma":[0.000194237,0.00003533591,0.9821167,0.00001134894,0.000001492602,0.000001984273,0.00002370273,0.01586696,0.00001453231,0.001527184,0.0001207882,0.00008571332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959565,0.000003821264,0.002423694,0.0007309539,0.00008034441,0.0001101054,0.00000973153,0.00001741229,0.0006674703],"genre_scores_gemma":[0.9993799,0.000005154764,0.0004028849,0.0001022142,0.00002716667,0.00001243574,0.00002371889,0.000002669532,0.00004382883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01559418,"threshold_uncertainty_score":0.291031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005091211066096081,"score_gpt":0.2228762832284743,"score_spread":0.2177850721623782,"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."}}