{"id":"W4372358212","doi":"10.1111/1365-2745.14109","title":"Remotely sensed environmental data as ecological proxies for ground‐dwelling ant diversity along a subtropical forest succession gradient","year":2023,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Research Committee, Aristotle University of Thessaloniki; Hong Kong Government; University of Hong Kong","keywords":"Vegetation (pathology); Ecology; Ecological succession; Environmental science; Gradient analysis; Physical geography; Geography; Remote sensing; Biology","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":[0.0004531725,0.0002128975,0.0001272796,0.001422791,0.0001839755,0.0004140891,0.0001766193,0.0001418075,0.0006674483],"category_scores_gemma":[0.001056418,0.0001277656,0.0002035298,0.0007747565,0.0002249399,0.0002273083,0.0003206111,0.0001465059,0.0001148742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567276,"about_ca_system_score_gemma":0.00008939869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006481636,"about_ca_topic_score_gemma":0.01401298,"domain_scores_codex":[0.9998454,0.00006061881,0.00001809487,0.00002917724,0.0000303187,0.00001644743],"domain_scores_gemma":[0.9988419,0.0003969041,0.0004173904,0.00007813187,0.0001376144,0.000128004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003580633,0.00001688522,0.9978023,0.000005579413,0.00002899591,0.00001910496,0.00006924227,0.0002802809,0.000707792,0.00001132216,0.00001816633,0.00100445],"study_design_scores_gemma":[0.000001710878,0.00001590316,0.9987645,0.000001607991,0.000005924379,0.00002855399,0.0001119391,0.0009760263,0.00005559724,0.00001139899,0.00002585662,0.000001072224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997126,0.0000173864,0.00006902724,0.000003045692,4.615128e-7,0.000001643825,0.00008202584,0.0000022171,0.0001115991],"genre_scores_gemma":[0.9996985,0.00001060206,0.0001358629,0.000002402512,9.253619e-7,0.000002279552,0.0001231077,3.936435e-7,0.00002590001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006481636,"threshold_uncertainty_score":0.01288784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03950030058530475,"score_gpt":0.2814946801057537,"score_spread":0.241994379520449,"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."}}