{"id":"W6910353291","doi":"10.4224/crm.2015.pots-1","title":"POTS-1: Potato Starch Reference Material for Trace Metals and other Constituents","year":2015,"lang":"en","type":"other","venue":"NRC Digital Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"TRACE (psycholinguistics); Potato starch; Trace metal; Trace element; Starch; Food contaminant","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":[0.001435495,0.001565119,0.000846354,0.006234549,0.0007490827,0.001382348,0.002411479,0.0009056919,0.1008715],"category_scores_gemma":[0.003215602,0.0007450195,0.0005066326,0.00677028,0.0003381111,0.002152935,0.001464026,0.001000656,0.08131303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006319146,"about_ca_system_score_gemma":0.001199365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00480242,"about_ca_topic_score_gemma":0.005795448,"domain_scores_codex":[0.998678,0.00009818024,0.0001245128,0.0002492154,0.0007889293,0.00006111109],"domain_scores_gemma":[0.9984109,0.0001615849,0.0001758736,0.000257075,0.000892694,0.0001017794],"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":[0.0009179055,0.0002247968,0.001832151,0.003498887,0.0000572214,0.0004771,0.0002524905,0.0006060387,0.09680118,0.00800545,0.6439751,0.2433517],"study_design_scores_gemma":[0.00003773735,0.000130101,0.00293836,0.0002694022,0.00002964531,0.0002941,0.00007656188,0.0002340484,0.03334173,0.001503463,0.961104,0.00004092126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03131544,0.009311631,0.04910855,0.0008676689,0.001581175,0.0008465724,0.5860764,0.01624715,0.3046454],"genre_scores_gemma":[0.04428754,0.007805967,0.04460832,0.0003385715,0.0001603803,0.0007042997,0.695543,0.006286073,0.2002659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1008715,"threshold_uncertainty_score":0.3374489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03703583996952097,"score_gpt":0.2868916774384747,"score_spread":0.2498558374689537,"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."}}