{"id":"W4249017258","doi":"10.1515/iupac.81.0761","title":"Reference Sediment","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Environmental science; Computer science; Biology; 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":[0.00142194,0.002192301,0.001681215,0.007413154,0.001543466,0.003814742,0.003177579,0.002538525,0.195652],"category_scores_gemma":[0.01288697,0.0007675765,0.001604596,0.0118882,0.0005314408,0.003301886,0.002884302,0.002850884,0.2684608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002624949,"about_ca_system_score_gemma":0.004580651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02888427,"about_ca_topic_score_gemma":0.06107312,"domain_scores_codex":[0.9971982,0.0003704055,0.000504614,0.000868614,0.0007690248,0.0002891786],"domain_scores_gemma":[0.994732,0.001129133,0.000408213,0.001263708,0.002103725,0.0003632354],"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":[0.00003333102,0.0000126347,0.0005092019,0.0006173951,0.00001452811,0.000021583,0.00001640844,0.0001353006,0.00005931785,0.0006592413,0.9945647,0.003356404],"study_design_scores_gemma":[0.00006543452,0.000006779568,0.001310741,0.0003027659,0.0000110172,0.00003796921,0.00005213587,0.0001176725,0.0001194583,0.001368706,0.9965926,0.0000146406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006891334,0.00009168308,0.0000962866,0.0001024453,0.00004772286,0.00001511507,0.9972734,0.0003216288,0.001982814],"genre_scores_gemma":[0.000169047,0.00006894203,0.0002945553,0.0000586372,0.00000747958,0.00004106862,0.9981776,0.00007235743,0.001110413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.195652,"threshold_uncertainty_score":0.6545212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328542833769567,"score_gpt":0.3510939062249242,"score_spread":0.3278084778872286,"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."}}