{"id":"W4294104458","doi":"10.1111/ele.14088","title":"The <scp>EICA</scp> is dead? Long live the <scp>EICA</scp> !","year":2022,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Kansas NSF EPSCoR","keywords":"Biology; Competition (biology); Generalist and specialist species; Herbivore; Trait; Ecology; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007979746,0.0006785875,0.001258857,0.00002832288,0.002816956,0.0002032882,0.001965522,0.0003752234,0.000389494],"category_scores_gemma":[0.0004879981,0.0001957675,0.0009205258,0.000556294,0.0006065798,0.00007479449,0.000963454,0.001271165,0.001082685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494646,"about_ca_system_score_gemma":0.00003690437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000124077,"about_ca_topic_score_gemma":0.002750613,"domain_scores_codex":[0.9961618,0.0007704257,0.0006319231,0.0008401071,0.0004031195,0.001192655],"domain_scores_gemma":[0.9861584,0.01294346,0.0005804847,0.0001513732,0.00003548693,0.0001307432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001574321,0.000101223,0.003804352,0.0002537195,0.0009229227,0.0002349933,0.0004582978,5.070597e-7,0.00008464288,0.000171532,0.7108448,0.2831214],"study_design_scores_gemma":[0.00005644047,0.0001817953,0.02303579,0.0001240878,0.000378921,0.00009470237,0.0005764635,8.502205e-7,0.000002001123,0.00003997039,0.9754221,0.00008692146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03316354,0.9537818,2.018926e-7,0.007111092,0.0009290462,0.001095509,0.0002927484,0.0001439243,0.003482113],"genre_scores_gemma":[0.0003887264,0.9852488,0.000004766788,0.008473075,0.001262298,0.0004038377,0.0001488588,0.000008200044,0.004061414],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2830345,"threshold_uncertainty_score":0.9996951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05967022934484337,"score_gpt":0.2466056326560976,"score_spread":0.1869354033112543,"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."}}