{"id":"W4239758206","doi":"10.1515/iupac.78.0108","title":"Absorption","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical and Physical Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Pesticide; Environmental chemistry; Relation (database); Computer science; Management science; Chemistry; Engineering; Ecology; Biology; Data mining; Organic chemistry","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":[0.001626479,0.002231714,0.001560356,0.006654313,0.001176188,0.004131346,0.003355845,0.002385036,0.1735951],"category_scores_gemma":[0.01298235,0.0007359515,0.001791374,0.00991697,0.0005517398,0.003625586,0.002947596,0.002227145,0.2148787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275983,"about_ca_system_score_gemma":0.003832997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02088247,"about_ca_topic_score_gemma":0.04125214,"domain_scores_codex":[0.9974763,0.0004056785,0.000475719,0.0008008867,0.0005578925,0.0002834221],"domain_scores_gemma":[0.9953041,0.001366426,0.0005410736,0.001110636,0.001370966,0.0003067641],"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":[0.00006592521,0.00001450962,0.0007121981,0.001194129,0.00002666998,0.00002442511,0.0000321299,0.0001499871,0.0001072986,0.0009432446,0.9926011,0.004128316],"study_design_scores_gemma":[0.00007781359,0.000009178686,0.00147327,0.0005227976,0.00001874705,0.00005027992,0.0000598602,0.0001440593,0.000166297,0.001315808,0.996142,0.00001981199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005876392,0.0000973485,0.00007886515,0.00007985158,0.00002362782,0.00001490586,0.9982382,0.0003251672,0.001083209],"genre_scores_gemma":[0.0001968794,0.00009379685,0.0003022946,0.00009603189,0.000007382599,0.00007728531,0.9982949,0.0000916702,0.0008398091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1735951,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009396306563392834,"score_gpt":0.3666067830154547,"score_spread":0.3572104764520619,"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."}}