{"id":"W4242300435","doi":"10.1515/iupac.81.0563","title":"Maulstick Incongruity","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; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; Philosophy","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":[0.002082803,0.001778833,0.00152745,0.00593405,0.002485865,0.006921236,0.002774044,0.002391486,0.2132495],"category_scores_gemma":[0.02346841,0.0007808138,0.00171118,0.01023558,0.001052312,0.004838154,0.005713874,0.002548567,0.2343257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685401,"about_ca_system_score_gemma":0.003635961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0145299,"about_ca_topic_score_gemma":0.03188023,"domain_scores_codex":[0.99661,0.000594008,0.0004997965,0.000934581,0.0008840048,0.0004775916],"domain_scores_gemma":[0.9923375,0.002629939,0.0007573566,0.002009564,0.001717669,0.000548012],"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":[0.00004075051,0.000007557975,0.0008344792,0.0003691071,0.00001098992,0.00002905214,0.00003043799,0.00006348077,0.00002148667,0.0008391865,0.9943753,0.003378104],"study_design_scores_gemma":[0.00005720935,0.000006300153,0.001210961,0.0003480475,0.000009085589,0.00008895463,0.00009502317,0.0001180866,0.00007652734,0.0017078,0.9962676,0.00001441336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003178316,0.0004368103,0.000160382,0.0006865188,0.000361421,0.00002314587,0.9918154,0.0006862897,0.005512247],"genre_scores_gemma":[0.00111581,0.0003045953,0.0004018351,0.0004788264,0.00007939617,0.0001055451,0.99426,0.0002841722,0.002969857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2132495,"threshold_uncertainty_score":0.7133907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400681532015183,"score_gpt":0.3934400681778914,"score_spread":0.3794332528577395,"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."}}