{"id":"W2175804398","doi":"10.1111/een.12280","title":"Precision and accuracy in quantifying herbivory","year":2015,"lang":"en","type":"article","venue":"Ecological Entomology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"SGS (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Herbivore; Biology; Accuracy and precision; Statistics; Ecology; Biological system; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005008213,0.00007532527,0.0001441209,0.00003233868,0.00005824997,0.000006142167,0.00009625175,0.0001336013,0.0005237578],"category_scores_gemma":[0.0008530028,0.00005991296,0.0000145261,0.0001062263,0.0002550674,0.00009466301,0.000309072,0.0001389731,0.0003838119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000087092,"about_ca_system_score_gemma":0.000006204137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006283383,"about_ca_topic_score_gemma":0.002082445,"domain_scores_codex":[0.9991657,0.0001501654,0.0001631175,0.0002408083,0.00006721701,0.0002130558],"domain_scores_gemma":[0.9993343,0.000469911,0.00004592901,0.00007226267,0.00000552639,0.00007206244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002789974,0.0001162712,0.9941263,0.000002363349,0.000003144202,0.00005289594,0.0004258034,0.0007762765,0.0001075887,0.002089357,0.0002658297,0.002006301],"study_design_scores_gemma":[0.0004508218,0.0001950095,0.9775031,0.000002245025,0.000002500876,0.00002691755,0.0001402825,0.002427436,0.00001137741,0.01841672,0.000743946,0.00007961083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893882,0.0001448383,0.0001233526,0.0008996276,0.0001654447,0.0001150395,2.15369e-7,0.00002386658,0.00913942],"genre_scores_gemma":[0.9981722,0.00004750278,0.0009202696,0.0005165417,0.00001060951,0.00002391893,0.000001100047,0.000002777041,0.0003051245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01662313,"threshold_uncertainty_score":0.573478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05686635340565203,"score_gpt":0.3166125550567086,"score_spread":0.2597462016510566,"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."}}