{"id":"W4243188011","doi":"10.1515/iupac.81.0171","title":"Chlorinity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Mine drainage and remediation techniques","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; Environmental chemistry; Ecology; Environmental science; Computer science; Risk assessment; Biology; Chemistry; 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":[0.0004636713,0.0002786061,0.0003072444,0.00006911676,0.00009452846,0.00002533932,0.0004743451,0.0002847165,0.05136112],"category_scores_gemma":[0.0003008389,0.0001908661,0.0001124829,0.0001473617,0.0002035089,0.0001098473,0.0003718086,0.0002939336,0.00004737427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004442142,"about_ca_system_score_gemma":0.00007522888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002694249,"about_ca_topic_score_gemma":0.001710093,"domain_scores_codex":[0.9979767,0.00004882839,0.0003043364,0.0004069851,0.0009565469,0.000306613],"domain_scores_gemma":[0.9989203,0.0000433225,0.0001916544,0.0006648118,0.00003707003,0.0001428189],"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":[0.00001676372,0.00008810654,0.00001345619,0.00001895665,0.00001066611,0.00002773732,0.000006088923,2.709426e-7,0.00005734777,0.000002114413,0.9960643,0.003694208],"study_design_scores_gemma":[0.0002076156,0.00009360338,0.00005061321,0.00005352229,0.00002505185,0.000005016956,0.000004027468,9.385969e-7,0.0003643371,0.0004024507,0.9985123,0.0002805507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009189118,0.00005287401,0.0002622411,0.0004314325,0.0003321469,0.0002189694,0.9975455,0.0001068815,0.0009580937],"genre_scores_gemma":[0.00005037324,0.0007007688,0.00006802728,0.0003857422,0.0005650572,0.00001826238,0.996556,0.00001978898,0.001635992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05131374,"threshold_uncertainty_score":0.949506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133151325038156,"score_gpt":0.3635258494247858,"score_spread":0.3521943361744043,"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."}}