{"id":"W4391843734","doi":"10.1111/ecog.07028","title":"Layer‐specific imprints of traits within a plant–herbivore–predator network – complementary insights from complementary methods","year":2024,"lang":"en","type":"article","venue":"Ecography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; University of Canterbury","keywords":"Herbivore; Predator; Ecology; Biology; Apex predator; Predation","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":[0.002770819,0.0005947824,0.0005068156,0.002061003,0.0004120918,0.001246628,0.0005928574,0.0003953435,0.002659657],"category_scores_gemma":[0.008629741,0.0004797383,0.001126435,0.001056349,0.001134697,0.001594154,0.001806143,0.0009618143,0.0003254749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000578208,"about_ca_system_score_gemma":0.0003725589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813173,"about_ca_topic_score_gemma":0.002965489,"domain_scores_codex":[0.998305,0.0008340942,0.00007160997,0.0004701484,0.0002214012,0.00009775767],"domain_scores_gemma":[0.9900737,0.005711322,0.001539244,0.001976586,0.0003802662,0.0003188075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001177011,0.0001963367,0.3213569,0.001185854,0.002590319,0.0005776383,0.004494468,0.03538663,0.3005036,0.06345965,0.001221398,0.2678503],"study_design_scores_gemma":[0.00004075008,0.0002496002,0.6897586,0.0001874629,0.0007680446,0.0007740987,0.00116832,0.1776335,0.03736776,0.08340966,0.008389094,0.0002531983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.678845,0.001804549,0.3079761,0.0003547316,0.00004382902,0.00006568769,0.001432423,0.0004931268,0.008984418],"genre_scores_gemma":[0.9311101,0.0004599508,0.06636294,0.000105357,0.00004603292,0.0001005181,0.0006817364,0.0001753027,0.0009578548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002770819,"threshold_uncertainty_score":0.01465368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07937300043877657,"score_gpt":0.2722553824815354,"score_spread":0.1928823820427588,"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."}}