{"id":"W4243036677","doi":"10.1515/iupac.81.0728","title":"Probit (Log) Transform","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental toxicology; Computer science; Environmental science; Ecology; Biology; Chemistry; 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":[0.005443585,0.002118194,0.002039991,0.004204385,0.0007471364,0.003382404,0.00431579,0.0022381,0.1951485],"category_scores_gemma":[0.03875704,0.0006075893,0.002889096,0.005090312,0.0006848599,0.002540869,0.001520733,0.005384036,0.1501966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497272,"about_ca_system_score_gemma":0.001900492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01566031,"about_ca_topic_score_gemma":0.01733682,"domain_scores_codex":[0.9960115,0.001149142,0.0003998015,0.001447766,0.000630161,0.0003616661],"domain_scores_gemma":[0.9836631,0.01097785,0.0009471208,0.002555488,0.001618266,0.0002382114],"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":[0.0005173784,0.0001736679,0.01673393,0.001045913,0.0003583994,0.0001443875,0.00004832725,0.004780343,0.00009758063,0.002606438,0.9411054,0.03238825],"study_design_scores_gemma":[0.00147171,0.0004473218,0.03429523,0.001159052,0.0004831198,0.0009095949,0.0004828503,0.0341004,0.0009549998,0.02168967,0.9038271,0.0001790071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003378026,0.0005439207,0.0044579,0.0006467669,0.0002845274,0.0001736386,0.9847804,0.002496229,0.003238535],"genre_scores_gemma":[0.03136585,0.0005475578,0.008445269,0.0006842407,0.0002711157,0.001760473,0.9373585,0.001220297,0.01834674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1951485,"threshold_uncertainty_score":0.6528366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206225018384192,"score_gpt":0.3722412014113202,"score_spread":0.3601789512274783,"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."}}