{"id":"W4247022286","doi":"10.1515/iupac.88.1317","title":"Sensitized Strain","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001778108,0.001072417,0.00111759,0.002666967,0.00108706,0.003418125,0.002278228,0.001772286,0.3638575],"category_scores_gemma":[0.01873934,0.0005267933,0.001369217,0.005147986,0.0004792785,0.003000772,0.002485411,0.001818297,0.3231614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001133523,"about_ca_system_score_gemma":0.002643792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008685706,"about_ca_topic_score_gemma":0.01551825,"domain_scores_codex":[0.9974981,0.0004938969,0.0004449672,0.0008011869,0.0004616203,0.0003002492],"domain_scores_gemma":[0.993954,0.001969017,0.0005223904,0.001751632,0.001454741,0.0003482678],"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":[0.0001173802,0.00001894657,0.001434553,0.0006118418,0.00002072631,0.00002572807,0.00003795971,0.00007328631,0.00007061169,0.001586333,0.9862374,0.009765187],"study_design_scores_gemma":[0.00008555025,0.00001189193,0.002156166,0.0004570018,0.00001674291,0.00006098022,0.0001174043,0.00009531086,0.0001170806,0.002005106,0.9948605,0.00001619031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003080154,0.0001883484,0.0003380193,0.0003686179,0.0002135213,0.00008970379,0.9874367,0.0006680485,0.01038908],"genre_scores_gemma":[0.001423274,0.0003144802,0.0009085292,0.0008003898,0.00007971333,0.0004213573,0.984643,0.0003422826,0.01106703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3638575,"threshold_uncertainty_score":0.9073801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223361888883703,"score_gpt":0.4525606395839775,"score_spread":0.4403270206951405,"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."}}