{"id":"W4254536988","doi":"10.1515/iupac.79.1972","title":"Risk Perception","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; Chemical nomenclature; Multidisciplinary approach; Hazard; Computer science; Toxicology; Chemistry; Biology; Philosophy; Linguistics; Sociology; Social science","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":[0.001565248,0.001874615,0.001296234,0.004266741,0.0005190337,0.002859909,0.002099203,0.001775017,0.1239447],"category_scores_gemma":[0.01964725,0.0004695305,0.002653959,0.00444967,0.0002606296,0.002183115,0.001585364,0.001825833,0.07858935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536998,"about_ca_system_score_gemma":0.001834256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01705683,"about_ca_topic_score_gemma":0.02735559,"domain_scores_codex":[0.9978682,0.0003420151,0.0004270565,0.0006376137,0.0005666194,0.0001584931],"domain_scores_gemma":[0.9936784,0.002802737,0.0008022711,0.001028362,0.001422575,0.0002657073],"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":[0.0003099388,0.00008184251,0.01012133,0.002691472,0.000204902,0.00004235875,0.00005242263,0.001610332,0.00009374971,0.001795571,0.9500683,0.03292772],"study_design_scores_gemma":[0.0002881214,0.00005695973,0.01394393,0.001381161,0.0001466569,0.0001742259,0.0001564597,0.001336145,0.0002321599,0.004823421,0.977391,0.00006966821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004557833,0.0003533324,0.0002555756,0.0001342763,0.00004071003,0.00004604331,0.9947424,0.0002535739,0.003718291],"genre_scores_gemma":[0.003033716,0.0004271195,0.001121852,0.0002418312,0.00003117044,0.0002169792,0.9920495,0.00007275007,0.002805104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1239447,"threshold_uncertainty_score":0.4146362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054214544848834,"score_gpt":0.3780490532095455,"score_spread":0.3675069077610571,"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."}}