{"id":"W4235716441","doi":"10.1515/iupac.83.0277","title":"Sensitisation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; History; Philosophy; Archaeology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004078268,0.0003229534,0.0003612702,0.0001195475,0.00002865058,0.00001795185,0.0002371608,0.0004903205,0.0004274258],"category_scores_gemma":[0.0003252939,0.0002668635,0.00007439451,0.000118544,0.00009651481,0.0000664054,0.00006903678,0.0004335037,0.000004501345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005594639,"about_ca_system_score_gemma":0.00001638062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005156514,"about_ca_topic_score_gemma":0.00005452084,"domain_scores_codex":[0.9987146,0.000008142943,0.0002673086,0.0002498658,0.0004359614,0.0003241398],"domain_scores_gemma":[0.9991096,0.00006339062,0.00005724398,0.0005867742,0.0001211972,0.00006183257],"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":[0.000006872152,0.00000991755,2.508474e-7,0.00008862567,0.00003533239,0.00003426481,0.00000108501,0.0001163798,0.002014038,0.000003473211,0.9883587,0.009331072],"study_design_scores_gemma":[0.0002185548,0.00002152001,0.000001463565,0.000161213,0.00002651927,0.00001279649,0.000006472795,0.00003948858,0.008675519,0.0005592045,0.9899294,0.0003478322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003432106,0.000444082,0.0009957979,0.0001351897,0.0004764832,0.0001168947,0.9962457,0.001196585,0.00004610105],"genre_scores_gemma":[0.0001590463,0.001584643,0.0001867826,0.00003482769,0.0004001948,0.00000658461,0.9975242,0.00005208598,0.00005163131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00898324,"threshold_uncertainty_score":0.9999784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00863120902250262,"score_gpt":0.3416765551159066,"score_spread":0.3330453460934039,"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."}}