{"id":"W3203116761","doi":"10.1007/s10661-021-09463-7","title":"Distinctive patterns and signals at major environmental events and collapse zone boundaries","year":2021,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; University of Toronto; Magyar Agrár- és Élettudományi Egyetem","keywords":"Relative species abundance; Abundance (ecology); Species richness; Ecology; Climate change; Environmental change; Scale (ratio); Cluster (spacecraft); Environmental science; Physical geography; Geography; Biology; Cartography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000153745,0.0002736486,0.000240727,0.00001967259,0.0008225476,0.0001391557,0.00008308768,0.00007711768,0.0004466983],"category_scores_gemma":[0.000003605761,0.0002595005,0.00003640841,0.00003760427,0.000425159,0.000202479,0.000982468,0.0001589746,0.00002481191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004846812,"about_ca_system_score_gemma":0.000008943167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001246634,"about_ca_topic_score_gemma":0.00004864813,"domain_scores_codex":[0.9982448,0.00008931865,0.0002501541,0.0006718312,0.0004014471,0.0003424587],"domain_scores_gemma":[0.9993746,0.00006436844,0.000103474,0.0002049502,8.349899e-7,0.0002517628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001110607,0.0001349851,0.9321069,0.00001987276,0.00003136646,0.00005484481,0.000338422,0.00002519665,0.06194516,0.00001027972,0.000007970107,0.005313882],"study_design_scores_gemma":[0.0005355757,0.0001174088,0.9872915,0.00005455944,0.00004141245,0.0001092301,0.001726008,0.000485694,0.007301043,0.00006804478,0.001949138,0.0003204441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979267,0.000796953,0.0001504784,0.0001226066,0.0002386735,0.0002233952,0.000142586,0.00001587657,0.0003827524],"genre_scores_gemma":[0.995806,0.001342788,0.0009200798,0.00002321861,0.00005889054,0.00004130652,0.00003093086,0.00002425758,0.001752575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05518452,"threshold_uncertainty_score":0.9999857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004873498339530734,"score_gpt":0.2253302080011911,"score_spread":0.2204567096616603,"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."}}