{"id":"W4252135786","doi":"10.1515/iupac.78.0656","title":"Chromium","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Autocrine signalling; Cytokine; Immune system; Paracrine signalling; Immunology; Biology; Molecular biology; Interleukin; Chemistry; Cell culture; Biochemistry; Receptor; Genetics","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":[0.0005930323,0.001237633,0.0009722938,0.002339457,0.001819824,0.003586604,0.00182097,0.001861624,0.156377],"category_scores_gemma":[0.001044622,0.000471177,0.001079996,0.002028939,0.0005868185,0.001162928,0.002547417,0.001682434,0.1388957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724171,"about_ca_system_score_gemma":0.001482396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004148966,"about_ca_topic_score_gemma":0.005444269,"domain_scores_codex":[0.9979644,0.0001564446,0.0001292888,0.0007103033,0.0007841318,0.000255521],"domain_scores_gemma":[0.9993291,0.00004513995,0.00006686692,0.0001353279,0.0003439643,0.00007977016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001140105,0.0002867706,0.005205671,0.00462605,0.0002597223,0.002477669,0.0009043732,0.0009432592,0.1408193,0.05140888,0.2137778,0.5781505],"study_design_scores_gemma":[0.00002191498,0.0001088036,0.001380506,0.0001186,0.00003592149,0.0009235361,0.0001093954,0.00008206756,0.01730826,0.001407381,0.9784787,0.00002501516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.02429512,0.02305207,0.02420287,0.004378119,0.01016132,0.0007505241,0.009980207,0.003642927,0.8995368],"genre_scores_gemma":[0.1067362,0.01105424,0.01368846,0.004955417,0.0007590968,0.0002962937,0.01027185,0.0009259384,0.8513125],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.156377,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006895661644474608,"score_gpt":0.3458659981348162,"score_spread":0.3389703364903416,"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."}}