{"id":"W4252950281","doi":"10.1515/iupac.78.0299","title":"Food Chain—Primary 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; Relation (database); Computer science; Ecology; Ecosystem; Biology; Data mining","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":[0.0007417469,0.001704792,0.001265115,0.004795451,0.0006903835,0.001979031,0.002111162,0.001088848,0.07517599],"category_scores_gemma":[0.004604088,0.0005277917,0.001166532,0.008198833,0.000357116,0.001539805,0.001596204,0.001310895,0.07452343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142209,"about_ca_system_score_gemma":0.002178826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03152841,"about_ca_topic_score_gemma":0.05456507,"domain_scores_codex":[0.9990481,0.0001085238,0.0001884945,0.0003197752,0.0002076337,0.0001274967],"domain_scores_gemma":[0.9975414,0.0004818918,0.0005204642,0.0004570948,0.000823811,0.0001752925],"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":[0.0001370244,0.00002427264,0.004053807,0.002623018,0.00006688246,0.00004220268,0.00006896922,0.0003755689,0.0002790383,0.001051699,0.9847122,0.006565248],"study_design_scores_gemma":[0.00008736552,0.00001357425,0.00991559,0.0007869213,0.00002981869,0.00004894227,0.0001281173,0.0001509168,0.0001955968,0.0008590394,0.9877622,0.0000218676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001129549,0.00006754667,0.00003233503,0.0000182464,0.000007979231,0.0000069933,0.9992392,0.00004805002,0.0004667693],"genre_scores_gemma":[0.0003959523,0.00008664053,0.0001745257,0.00002799065,0.000003654119,0.00005142925,0.998637,0.0000218332,0.0006009383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07517599,"threshold_uncertainty_score":0.2514888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015683181611803,"score_gpt":0.3869953601586845,"score_spread":0.3668385283425664,"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."}}