{"id":"W6922106879","doi":"10.1021/es5038468.s001","title":"Arsenic\\nSpeciation in Edible Mushrooms","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arsenic; Fungus; Genetic algorithm; Agaricales","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007565271,0.0002710249,0.0002446197,0.0008025221,0.0005989927,0.0006554989,0.0001877627,0.000234396,0.001490035],"category_scores_gemma":[0.0001964554,0.0001460282,0.0002726584,0.0006983731,0.0003106182,0.0003059667,0.000562367,0.0002403395,0.0005284391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389836,"about_ca_system_score_gemma":0.000235612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008526471,"about_ca_topic_score_gemma":0.0140394,"domain_scores_codex":[0.9998209,0.00000948759,0.0000160786,0.00007883087,0.00004281765,0.00003192214],"domain_scores_gemma":[0.9998837,0.00001159982,0.00002879851,0.0000102445,0.00003717429,0.00002846223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000435735,0.00003655579,0.05429067,0.0002744303,0.0000373705,0.0009397781,0.0005863438,0.00009834462,0.9293953,0.0001673925,0.0001909131,0.01354726],"study_design_scores_gemma":[0.00001093591,0.0002894137,0.7174323,0.00008399679,0.00007558252,0.002027611,0.002688495,0.0006369577,0.264143,0.0002759802,0.01230036,0.00003540347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926783,0.001560222,0.0004747016,0.00005090511,0.00001518414,0.00001480403,0.00147257,0.00003263163,0.003700678],"genre_scores_gemma":[0.9923075,0.001173925,0.0008239987,0.00006770872,0.000006096332,0.000009871005,0.001849975,0.00001444729,0.0037463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008526471,"threshold_uncertainty_score":0.01695371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136897009759571,"score_gpt":0.2122324914054402,"score_spread":0.1985427904294831,"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."}}