{"id":"W2015997990","doi":"10.2980/17-4-3263","title":"Assessing patterns of nestedness in stream insect assemblages along environmental gradients","year":2010,"lang":"en","type":"article","venue":"Ecoscience","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nestedness; Ecology; Niche; Context (archaeology); Biology; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002998447,0.0001157274,0.0001225053,0.00005080254,0.00009890784,0.00006205061,0.0003713515,0.00005639306,0.01159129],"category_scores_gemma":[0.00004677832,0.0001089929,0.00003752841,0.000269467,0.0002518969,0.0006660979,0.0002016167,0.0001557445,0.0001895813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926067,"about_ca_system_score_gemma":0.00000883864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000763486,"about_ca_topic_score_gemma":0.004354743,"domain_scores_codex":[0.9987593,0.00003077432,0.0002196992,0.0003273486,0.0003508763,0.0003120572],"domain_scores_gemma":[0.9995174,0.00003757275,0.0001055786,0.0002394868,0.000002337391,0.00009760591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001225821,0.0001452508,0.8413451,0.000002810495,4.232228e-7,0.000006173805,0.0001584988,0.000008560181,0.156122,0.0000488755,0.00002590126,0.002135228],"study_design_scores_gemma":[0.000180109,0.00002443747,0.9788516,0.000008317149,0.000001860937,0.000008770585,0.001063827,0.0001939845,0.01917497,0.00002191455,0.0003490437,0.0001212343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949734,0.000004502925,0.00003529822,0.0000448655,0.000368208,0.00009995425,0.00002866491,0.00001716476,0.004427912],"genre_scores_gemma":[0.9997762,0.00001360859,0.0000460018,0.00005642727,0.00001051419,0.000008810583,0.00001652885,0.000006414897,0.00006548403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1375064,"threshold_uncertainty_score":0.9893122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704867581085369,"score_gpt":0.2624765598513686,"score_spread":0.2354278840405149,"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."}}