{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002307367,0.0003869422,0.0008788008,0.0008322178,0.000778977,0.001516738,0.0008301372,0.0006389585,0.02697203],"category_scores_gemma":[0.005997009,0.000178415,0.001582783,0.001870487,0.0007855027,0.001768726,0.0009234362,0.001460537,0.002456385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008718552,"about_ca_system_score_gemma":0.0006326845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175786,"about_ca_topic_score_gemma":0.01580691,"domain_scores_codex":[0.9991828,0.0002424449,0.0000421102,0.0002741346,0.0001978859,0.00006062753],"domain_scores_gemma":[0.9962516,0.001926302,0.0007762311,0.0003803886,0.0004496386,0.0002158536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001370998,0.00008845006,0.206125,0.01321826,0.01281389,0.002106169,0.002054464,0.0027769,0.009238167,0.03427584,0.2089399,0.506992],"study_design_scores_gemma":[0.0001028852,0.0003829699,0.349656,0.003672868,0.006269997,0.001963715,0.003078402,0.003450913,0.003531136,0.03052857,0.5971351,0.0002273358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4374299,0.1665336,0.04675914,0.09704618,0.01002733,0.0004134168,0.06283594,0.002192018,0.1767624],"genre_scores_gemma":[0.8871507,0.02985068,0.01494736,0.02575406,0.002070207,0.0002906927,0.01453833,0.001026797,0.02437123],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02697203,"threshold_uncertainty_score":0.09023041,"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."}}