{"id":"W4246419952","doi":"10.1515/iupac.78.0302","title":"Food Chain—Secondary Decomposers","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Food chain; Pesticide; Decomposer; Computer science; Ecology; Ecosystem; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007364377,0.001766263,0.001266232,0.004921366,0.0007215318,0.002033069,0.0022428,0.001188717,0.07848259],"category_scores_gemma":[0.004447535,0.0005304455,0.001272114,0.007884596,0.0003597411,0.001668613,0.001712239,0.00133306,0.07819299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415919,"about_ca_system_score_gemma":0.002131929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02987392,"about_ca_topic_score_gemma":0.05421019,"domain_scores_codex":[0.9990649,0.0001099674,0.0001875738,0.0003100247,0.000203319,0.0001243299],"domain_scores_gemma":[0.9976649,0.0004689454,0.000484793,0.0004527927,0.0007637847,0.0001648376],"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":[0.0001312281,0.00002378576,0.003447382,0.002576055,0.0000600074,0.00004220293,0.00006523266,0.0003971092,0.0002877069,0.001162115,0.985248,0.006559261],"study_design_scores_gemma":[0.00008161156,0.00001256938,0.007582662,0.0006966439,0.00002555223,0.00004271068,0.0001119167,0.0001631404,0.000195161,0.0009027557,0.9901642,0.00002108772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001015974,0.00006435252,0.00003481355,0.00001943929,0.000008121258,0.00000706825,0.9992384,0.0000567792,0.0004695885],"genre_scores_gemma":[0.0003408685,0.00007920216,0.0001814261,0.00002833923,0.000003502267,0.00004847408,0.9987261,0.00002307039,0.0005690875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07848259,"threshold_uncertainty_score":0.2625505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035187879173062,"score_gpt":0.3901954784289825,"score_spread":0.3698435996372519,"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."}}