{"id":"W3014450374","doi":"10.22541/au.157954751.17355951","title":"Why we should use balances and machine learning to diagnose ionomes","year":2020,"lang":"en","type":"dataset","venue":"Authorea","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005939385,0.001279514,0.001361113,0.003389321,0.001341501,0.004258738,0.002342383,0.002100088,0.001724352],"category_scores_gemma":[0.02714458,0.0004990986,0.0008018688,0.003534932,0.001646018,0.005459764,0.001600786,0.002765622,0.003011756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004070379,"about_ca_system_score_gemma":0.003736396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2130668,"about_ca_topic_score_gemma":0.3265963,"domain_scores_codex":[0.9973599,0.0006039237,0.0002455446,0.0008327164,0.0007204415,0.00023746],"domain_scores_gemma":[0.98956,0.002585667,0.0005906757,0.002544942,0.004074867,0.0006438289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009318623,0.0001837593,0.3182201,0.0008109837,0.0004940284,0.0002192875,0.0007145037,0.0223261,0.005082536,0.01023118,0.2930151,0.3477707],"study_design_scores_gemma":[0.0005219204,0.0004352701,0.1612435,0.001217461,0.0002826612,0.0007123356,0.0041151,0.2731807,0.01378361,0.1053655,0.4386621,0.000479752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.2921021,0.02353079,0.2404321,0.1481887,0.003992192,0.001168827,0.2389396,0.02148329,0.03016241],"genre_scores_gemma":[0.5790973,0.003760804,0.2677956,0.01168468,0.0009234601,0.000417527,0.1277602,0.001093096,0.007467393],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2130668,"threshold_uncertainty_score":0.4236532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05601429410501883,"score_gpt":0.2660904969665009,"score_spread":0.210076202861482,"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."}}