{"id":"W4256711003","doi":"10.46427/gold2020.877","title":"How can We tap into the Mineral Microbiome?","year":2020,"lang":"en","type":"article","venue":"Goldschmidt Abstracts","topic":"Kidney Stones and Urolithiasis Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Tap water; Computer science; Microbiome; Environmental science; Biology; Environmental engineering; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006799747,0.0002565235,0.0003055011,0.00004602478,0.000121792,0.00009956271,0.0001764727,0.0001209094,0.00009159922],"category_scores_gemma":[0.0001198233,0.0001603897,0.0001675378,0.0002377354,0.00009933831,0.00009007657,0.00006460755,0.000279968,0.0002444744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006255828,"about_ca_system_score_gemma":0.0001294084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00022819,"about_ca_topic_score_gemma":0.00002532521,"domain_scores_codex":[0.9987371,0.0000257199,0.0002401054,0.0003561997,0.0002591873,0.0003816968],"domain_scores_gemma":[0.9989088,0.00003903709,0.000112889,0.0003602771,0.00006816502,0.0005108541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009504755,0.001354553,0.08718127,0.0007376485,0.0014169,0.002090466,0.02256543,0.00003184892,0.5871885,0.0006720826,0.2270491,0.06876171],"study_design_scores_gemma":[0.002884757,0.0004550678,0.2583772,0.00007205046,0.0003732685,0.0001782583,0.0009886977,0.00003660633,0.02076749,0.00007907559,0.7154633,0.0003242638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7510192,0.0007748858,0.000003048471,0.244208,0.0002183107,0.0004296159,0.00001962218,0.0000896023,0.003237694],"genre_scores_gemma":[0.982386,0.0001101315,0.0006521845,0.009730789,0.0006136325,0.00003193906,0.00007350074,0.00003795674,0.006363876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.566421,"threshold_uncertainty_score":0.6540504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089589209368058,"score_gpt":0.2482382201841558,"score_spread":0.2273423280904752,"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."}}