{"id":"W4229851676","doi":"10.1515/iupac.81.0471","title":"Indicator","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Ecology; Computer science; Risk assessment; Biology; Data mining; Philosophy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001754567,0.001737707,0.001308211,0.005154814,0.001057995,0.004020175,0.002791742,0.001997244,0.1637786],"category_scores_gemma":[0.01627865,0.0005709921,0.001526891,0.008650878,0.0004432706,0.003418587,0.002807646,0.002491858,0.1801072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162655,"about_ca_system_score_gemma":0.003359255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988121,"about_ca_topic_score_gemma":0.03183433,"domain_scores_codex":[0.9969237,0.000464871,0.000471162,0.0009976897,0.0007395268,0.0004029432],"domain_scores_gemma":[0.993518,0.001740403,0.0006618922,0.001290707,0.002393404,0.0003956573],"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":[0.00007823387,0.00002163831,0.002708697,0.0007458738,0.00002496173,0.00001751694,0.00003123783,0.0002372904,0.00008198901,0.001759447,0.9863157,0.007977484],"study_design_scores_gemma":[0.00008319124,0.00001520083,0.004454928,0.0003944059,0.00002066298,0.00005188414,0.0001309136,0.0003213412,0.0001822071,0.002393361,0.9919263,0.00002573951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002007508,0.0000949533,0.0001722829,0.0001529565,0.00006152598,0.0000292543,0.9963329,0.0002965024,0.00265876],"genre_scores_gemma":[0.000641572,0.00009975102,0.0006253106,0.0001274063,0.00001740454,0.0001314196,0.9962403,0.0001001531,0.002016695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8362214,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457079354130555,"score_gpt":0.4177617934234069,"score_spread":0.4031909998821013,"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."}}