{"id":"W2168455787","doi":"10.1111/j.1654-1103.2010.01207.x","title":"Using three pairs of competitive indices to test for changes in plant competition under different resource and disturbance levels","year":2010,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Thompson Rivers University","funders":"","keywords":"Competition (biology); Disturbance (geology); Ecology; Resource (disambiguation); Intermediate Disturbance Hypothesis; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007311894,0.00006713691,0.0001497484,0.0001486825,0.0001536461,0.00001914159,0.0001511188,0.00002807006,0.000009983494],"category_scores_gemma":[0.0002766584,0.00005315809,0.00001781144,0.0002531085,0.0004783657,0.0002364716,0.00006217663,0.0001088666,7.154588e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006386381,"about_ca_system_score_gemma":0.00002110924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008844616,"about_ca_topic_score_gemma":0.006054916,"domain_scores_codex":[0.99922,0.00001888889,0.000243365,0.0001330863,0.0002569613,0.0001276941],"domain_scores_gemma":[0.9990951,0.0004017081,0.0003309248,0.00005349767,0.00006086816,0.00005783301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003475331,0.000142711,0.7667784,0.00002722302,0.000006091241,0.000001525281,0.002735574,0.007259044,0.2149552,0.007379013,0.000003607741,0.0006768777],"study_design_scores_gemma":[0.0002947364,0.0002270195,0.9847061,0.00006513415,0.000007856118,0.00001268717,0.000493146,0.007497321,0.004268099,0.00233629,0.00002904064,0.00006255601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990172,0.00002261122,0.00864472,0.0006841678,0.0001238063,0.0001450641,0.000008561606,0.000001933543,0.0001971432],"genre_scores_gemma":[0.9945718,0.000005248786,0.005270118,0.0001224077,0.00001824555,0.000003622911,4.677441e-7,0.000002635221,0.00000543359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2179277,"threshold_uncertainty_score":0.3378786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554871696424193,"score_gpt":0.2889543054548148,"score_spread":0.2534055884905728,"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."}}