{"id":"W4256567025","doi":"10.1515/iupac.81.0056","title":"Alkalinity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Ecology; Computer science; Biology; 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":[0.0009203583,0.001939655,0.001583031,0.004736358,0.001145142,0.003645302,0.003265839,0.001918608,0.06657618],"category_scores_gemma":[0.006349277,0.0006291248,0.001438447,0.007861596,0.0004668999,0.003429125,0.002637336,0.002164323,0.09376501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913997,"about_ca_system_score_gemma":0.002457137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02215974,"about_ca_topic_score_gemma":0.04492036,"domain_scores_codex":[0.9984561,0.000160065,0.0002569053,0.0004795242,0.0004670464,0.0001803455],"domain_scores_gemma":[0.9975407,0.0005128216,0.0003673256,0.0005233851,0.0008582844,0.0001973921],"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":[0.0001311039,0.00002872714,0.003582116,0.002030507,0.00004590834,0.00003755684,0.00005155007,0.0004097811,0.0002874231,0.001359029,0.9841099,0.007926491],"study_design_scores_gemma":[0.00009583357,0.00001308944,0.005096269,0.0003915821,0.00002285537,0.00007251739,0.00008793167,0.0003142483,0.000328028,0.001639717,0.9919084,0.00002955195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002872643,0.0002252895,0.00008428705,0.0001192713,0.00003678764,0.00001557051,0.9969525,0.0003663386,0.001912646],"genre_scores_gemma":[0.0006518073,0.0001878979,0.0004553954,0.00009055959,0.000008554118,0.00005443204,0.9975408,0.00007245873,0.0009379557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06657618,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119183491199134,"score_gpt":0.3663614319041323,"score_spread":0.3544430827842189,"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."}}