{"id":"W4236866941","doi":"10.1515/iupac.81.0015","title":"Absorbent","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001209076,0.0002717498,0.0002539127,0.0000147364,0.00004216801,0.00001782171,0.0003882205,0.0002388421,0.04685288],"category_scores_gemma":[0.0001271043,0.0002073149,0.0001041688,0.00008541563,0.0001171138,0.00004774611,0.0003076145,0.0003003101,0.00002587541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617979,"about_ca_system_score_gemma":0.00003324756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004879339,"about_ca_topic_score_gemma":0.00004878196,"domain_scores_codex":[0.9983914,0.000006810662,0.0002286879,0.0003723185,0.0006851994,0.0003156047],"domain_scores_gemma":[0.9991947,0.0000307079,0.00007585629,0.0005132269,0.00001232819,0.0001732011],"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":[0.00001420034,0.00006135177,0.000003954627,0.00004131715,0.00001378952,0.00002357408,0.000001649458,0.00002609975,0.001625926,3.149349e-7,0.9967986,0.001389169],"study_design_scores_gemma":[0.0002421726,0.00001835247,0.000009905001,0.00009915112,0.00002461144,0.000008984531,0.000001863348,0.000007808668,0.002130624,0.00005005371,0.9971095,0.0002969546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003782002,0.00007346016,0.00006654999,0.0001659802,0.0001943721,0.00006592685,0.9984058,0.00005117998,0.0005985239],"genre_scores_gemma":[0.00009417461,0.0001856555,0.00002988902,0.0001102441,0.0003854996,0.000006899623,0.998331,0.00001970403,0.0008369013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.046827,"threshold_uncertainty_score":0.9540184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005600223059300468,"score_gpt":0.3240403857832585,"score_spread":0.318440162723958,"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."}}