{"id":"W2143040250","doi":"10.2307/3236899","title":"A new method for characterizing point patterns in plant ecology","year":2001,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bivariate analysis; Canopy; Ecology; Point pattern analysis; Univariate; Point (geometry); Spatial ecology; Spatial analysis; Mathematics; Biology; Multivariate statistics; Statistics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001840038,0.00004959779,0.0001054955,0.0001550633,0.00007126068,0.00002261249,0.0002537704,0.00002360373,0.0001997852],"category_scores_gemma":[0.0001412236,0.00004105656,0.00003218954,0.0002667168,0.00006328142,0.0005887076,0.00005783657,0.00007416589,0.00002756632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001733188,"about_ca_system_score_gemma":0.00005061568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002795775,"about_ca_topic_score_gemma":0.0004218289,"domain_scores_codex":[0.9991617,0.00003101325,0.0002759862,0.0001248672,0.0001974535,0.000209046],"domain_scores_gemma":[0.9995117,0.00009289264,0.0002337462,0.00006392389,0.00001524598,0.0000824618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002927689,0.0003143102,0.7679476,0.0000324133,0.00002113149,0.0002416556,0.00452086,0.02260892,0.1040299,0.0188459,0.001897481,0.07924709],"study_design_scores_gemma":[0.000483786,0.0002122153,0.9821354,0.00001787717,0.000005998927,0.0001201511,0.00008868839,0.005679169,0.001309926,0.007496656,0.002393684,0.00005648244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6054887,0.000008163937,0.3915239,0.001569651,0.000540227,0.0001438464,4.15738e-7,0.000003361321,0.0007218025],"genre_scores_gemma":[0.9567642,0.00001896834,0.04228107,0.0007782519,0.00004701256,0.000003855708,3.08636e-7,0.000002412246,0.0001039613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3512755,"threshold_uncertainty_score":0.2187507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874099390893461,"score_gpt":0.3032694822251126,"score_spread":0.284528488316178,"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."}}