{"id":"W4248820896","doi":"10.1515/iupac.81.0439","title":"Hazard Assessment","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; Ecotoxicology; Hazard analysis; Hazard; Environmental risk assessment; Risk assessment; Computer science; Ecology; Biology; Engineering; 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":[0.001412577,0.001676423,0.001018737,0.004976328,0.0007392889,0.002319213,0.002642546,0.00166279,0.1212582],"category_scores_gemma":[0.009873206,0.0004917516,0.001875843,0.00510449,0.0002904919,0.002283013,0.002271724,0.00173329,0.1039736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0020323,"about_ca_system_score_gemma":0.002665747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032215,"about_ca_topic_score_gemma":0.03996662,"domain_scores_codex":[0.9983763,0.0002676003,0.0002713609,0.0004327823,0.0004864938,0.000165506],"domain_scores_gemma":[0.9956872,0.00130928,0.0004867865,0.0009937969,0.001275935,0.0002470029],"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":[0.00006848467,0.00002384636,0.002640759,0.00170696,0.00005431365,0.00003704671,0.000027009,0.0007133461,0.0001140225,0.001720097,0.9793406,0.01355357],"study_design_scores_gemma":[0.00005483756,0.000009926423,0.003092703,0.0004997316,0.00002666469,0.00006988219,0.00006194993,0.0004479142,0.0001838064,0.002413567,0.9931203,0.00001878584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001508936,0.0001710528,0.0002026152,0.00009631627,0.00002613494,0.00002065948,0.9964284,0.000273968,0.00263],"genre_scores_gemma":[0.0007795137,0.0001853062,0.0007302113,0.0001015468,0.000008747373,0.00006961112,0.9963237,0.00005944164,0.001741927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1212582,"threshold_uncertainty_score":0.4056491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006453034897921631,"score_gpt":0.35296087529894,"score_spread":0.3465078404010183,"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."}}