{"id":"W4249993840","doi":"10.1515/iupac.81.0533","title":"Littoral Enclosures","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; Ecotoxicology; Relation (database); Environmental risk assessment; Ecology; Computer science; Biology; Risk assessment; Data mining; 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":[0.0006210589,0.001225234,0.001118589,0.002425932,0.0009446528,0.002671486,0.001975338,0.001214108,0.1339731],"category_scores_gemma":[0.003935362,0.0004385089,0.0009235435,0.005092548,0.0004037066,0.00163767,0.002065799,0.001421025,0.1715244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511707,"about_ca_system_score_gemma":0.001608312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02605585,"about_ca_topic_score_gemma":0.06020656,"domain_scores_codex":[0.9992294,0.0001303513,0.00008034769,0.0002732273,0.000181534,0.0001050166],"domain_scores_gemma":[0.9986084,0.0003191907,0.0001630333,0.0003316413,0.0003748052,0.0002029455],"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":[0.00006034484,0.00001156805,0.0009971224,0.0004219766,0.00001356393,0.00002606954,0.00002589283,0.0001707379,0.00006376008,0.0007224743,0.9930482,0.004438247],"study_design_scores_gemma":[0.00005968083,0.000008417385,0.003214604,0.0002575579,0.000008630017,0.00003827164,0.00008667724,0.0002388099,0.0001518596,0.0008784051,0.9950436,0.00001348087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002518537,0.000138499,0.00008414988,0.00008540261,0.00003892507,0.00001152935,0.9960309,0.0004061875,0.00295255],"genre_scores_gemma":[0.0006568396,0.0001078045,0.0002704768,0.00006286566,0.00001159934,0.00004082897,0.9964058,0.00007558259,0.002368143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1339731,"threshold_uncertainty_score":0.4481847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369384922648333,"score_gpt":0.3940869313961032,"score_spread":0.3803930821696199,"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."}}