{"id":"W4377018092","doi":"10.1016/j.foreco.2023.121103","title":"Investigating above- vs. below-ground competition by accounting for azimuth of competitors in native eucalypt forests","year":2023,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Competition (biology); Competitor analysis; Environmental science; Ecology; Forestry; Biology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007973793,0.0002834817,0.0002836602,0.000293677,0.0003439062,0.000716989,0.0003557036,0.0002698051,0.0007907234],"category_scores_gemma":[0.001069672,0.0001187809,0.000317392,0.0002917567,0.0002723405,0.0006866503,0.0003554198,0.0002425545,0.00008931432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004590179,"about_ca_system_score_gemma":0.0005075998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458974,"about_ca_topic_score_gemma":0.04908217,"domain_scores_codex":[0.9997776,0.0000597319,0.00001232811,0.00006698644,0.00003120922,0.00005216213],"domain_scores_gemma":[0.9991326,0.0004414001,0.0001224473,0.00006143044,0.00008102773,0.0001612194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000778629,0.0001570831,0.8948596,0.00007043606,0.0003261425,0.0001695934,0.0004377502,0.009951734,0.07944173,0.001166226,0.00009349988,0.01254761],"study_design_scores_gemma":[0.000009496522,0.0001307648,0.952233,0.000004966821,0.0001114546,0.0001565081,0.0005665841,0.04285524,0.0030425,0.0006722275,0.0001985048,0.00001872952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995646,0.0000260642,0.0002368184,0.00000409287,9.289062e-7,5.320151e-7,0.00001146838,0.000002014261,0.0001535273],"genre_scores_gemma":[0.9996839,0.000007870135,0.0002111448,0.0000024916,8.427297e-7,4.833523e-7,0.00002167457,0.000001667083,0.000070003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01458974,"threshold_uncertainty_score":0.02900964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008148790769820384,"score_gpt":0.2382432078402234,"score_spread":0.230094417070403,"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."}}