{"id":"W4232771522","doi":"10.1515/iupac.81.0310","title":"Elutriate Test","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; Philosophy; Linguistics","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":[0.002848319,0.001399459,0.001721969,0.002271018,0.0007601623,0.002862955,0.003757159,0.001948813,0.08720213],"category_scores_gemma":[0.02543145,0.0004170239,0.001907359,0.002876441,0.0006161941,0.001785679,0.0019825,0.002545614,0.05847868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556973,"about_ca_system_score_gemma":0.003046071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007670508,"about_ca_topic_score_gemma":0.01781708,"domain_scores_codex":[0.997489,0.0005537327,0.0003884188,0.0007890157,0.0005421491,0.0002377939],"domain_scores_gemma":[0.9914654,0.004096299,0.0008661352,0.001563234,0.001605935,0.0004030078],"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":[0.0006994756,0.00008583659,0.01018376,0.001945748,0.0001987546,0.00009042361,0.00003988294,0.0008324583,0.00009713943,0.002148124,0.9637597,0.01991862],"study_design_scores_gemma":[0.0009148258,0.0001778017,0.01668804,0.001370348,0.0002501456,0.0003940396,0.0001642991,0.001850017,0.0008003636,0.01086926,0.966446,0.00007487312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001387207,0.0005779381,0.0006831716,0.0005118924,0.0001331627,0.0001150209,0.9907027,0.0009092182,0.004979535],"genre_scores_gemma":[0.006221035,0.000414998,0.002023769,0.0006468331,0.00006727812,0.0006450424,0.9848006,0.0003119504,0.004868604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08720213,"threshold_uncertainty_score":0.2917202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007333398832236913,"score_gpt":0.3630006729329229,"score_spread":0.3556672741006859,"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."}}