{"id":"W4240982755","doi":"10.1515/iupac.79.1316","title":"Gastroenteritis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; 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":[0.00009231961,0.000262483,0.000259332,0.00001427054,0.00003940299,0.0000205321,0.0003688825,0.0001791195,0.04044219],"category_scores_gemma":[0.0001063421,0.0002150817,0.0001041629,0.00007014959,0.0001341154,0.00005664364,0.0003148046,0.0002734651,0.00001376874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004737353,"about_ca_system_score_gemma":0.00002249218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004313042,"about_ca_topic_score_gemma":0.00006002927,"domain_scores_codex":[0.998471,0.000008036252,0.0002230828,0.0003597292,0.0005889378,0.0003492117],"domain_scores_gemma":[0.9992757,0.00001787857,0.00007097352,0.0004481087,0.00001194709,0.0001754159],"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":[0.0000195695,0.00005430708,0.00001241842,0.00004148411,0.00001232445,0.00004097837,0.000001072605,0.00000779021,0.002111205,8.473479e-8,0.9964907,0.001208137],"study_design_scores_gemma":[0.0002923315,0.00002988347,0.00001670232,0.0001554122,0.00002058519,0.00002676314,0.000001855445,0.000004163846,0.001187327,0.00001949208,0.9980201,0.0002254356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005940546,0.00004368573,0.0001142534,0.0001722083,0.0001755403,0.00005731639,0.9985246,0.00004621315,0.0002720933],"genre_scores_gemma":[0.0001197865,0.0001706218,0.00005163251,0.0001141067,0.0003653324,0.000007357734,0.9985445,0.00001936442,0.0006073322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04042843,"threshold_uncertainty_score":0.960435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004568382427143392,"score_gpt":0.3111706190947562,"score_spread":0.3066022366676128,"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."}}