{"id":"W4318424496","doi":"","title":"Accumulation of cobalt in river biofilms","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Science and Water Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cobalt; Geology; Environmental science; Computer science; Materials science; Metallurgy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002824097,0.000230342,0.000279379,0.00009696696,0.0001015585,0.0001119071,0.0009275436,0.0001766001,0.001335439],"category_scores_gemma":[0.0001732712,0.0002414578,0.0001307824,0.0004221777,0.0004681594,0.0002449618,0.002934968,0.0003059448,0.00009300386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671721,"about_ca_system_score_gemma":0.00003161317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007573929,"about_ca_topic_score_gemma":0.00344551,"domain_scores_codex":[0.9963186,0.001612855,0.0004844455,0.0007252115,0.0005584974,0.0003003951],"domain_scores_gemma":[0.998049,0.0001994615,0.0003498753,0.001230874,0.00006640083,0.0001043532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002048069,0.002340924,0.7939981,0.0002585519,0.00006940671,0.00003421095,0.03102698,0.02008214,0.04222279,0.005385536,0.001306085,0.1032548],"study_design_scores_gemma":[0.0006668607,7.581222e-7,0.8567781,0.00115013,0.00003797005,0.000003029975,0.0003916468,0.02262062,0.11063,0.002990735,0.004090418,0.0006397418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421303,0.0001454141,0.01088217,0.001908575,0.0001099199,0.0003856607,0.00001456378,0.00003924728,0.0443841],"genre_scores_gemma":[0.9740483,0.0003331519,0.0224856,0.00009106712,0.000004808447,0.00003221702,0.0001924445,0.00001762924,0.002794785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.102615,"threshold_uncertainty_score":0.9995775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142984607457109,"score_gpt":0.24103876547994,"score_spread":0.2196089194053689,"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."}}