{"id":"W4254342554","doi":"10.1515/iupac.79.1383","title":"Heavy Metal","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Aluminum toxicity and tolerance in plants and animals","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science","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":[0.000768788,0.001561181,0.001286044,0.002866844,0.000671576,0.00180091,0.00225363,0.001384443,0.0675813],"category_scores_gemma":[0.004636834,0.0005218263,0.001525455,0.004817656,0.0002592685,0.001180879,0.001640047,0.00117119,0.08535431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062513,"about_ca_system_score_gemma":0.001983961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01615881,"about_ca_topic_score_gemma":0.0366626,"domain_scores_codex":[0.9990146,0.0001355394,0.0001781246,0.000346554,0.0002199846,0.000105198],"domain_scores_gemma":[0.998296,0.0003961093,0.000242642,0.0004137604,0.0005083831,0.0001430819],"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":[0.0002009095,0.00003379798,0.002727926,0.002148198,0.00009276286,0.00004014398,0.00002949549,0.0003684435,0.0003468959,0.0005530746,0.9845145,0.008943953],"study_design_scores_gemma":[0.0002007325,0.00002621286,0.007254092,0.0005100825,0.00007378642,0.00008945844,0.00006267628,0.0002864707,0.0004178903,0.0008195092,0.9902318,0.00002725244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001935555,0.0001304962,0.00007448572,0.00003850169,0.000021113,0.00001580165,0.9985313,0.0001528645,0.0008417951],"genre_scores_gemma":[0.0003468342,0.00009680763,0.000281889,0.00006190791,0.000005884559,0.00006401468,0.9982581,0.0000293013,0.0008552867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0675813,"threshold_uncertainty_score":0.226082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172427469717916,"score_gpt":0.3438501667421872,"score_spread":0.322125892045008,"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."}}