{"id":"W4318424507","doi":"","title":"Accumulation and Effects of Cobalt in River Biofilms","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cobalt; Environmental 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003714113,0.0002216295,0.0004302522,0.0003740396,0.0006663974,0.001051505,0.0003300379,0.0007663483,0.0007732452],"category_scores_gemma":[0.0006731299,0.000240318,0.0002656973,0.0003562202,0.0004326414,0.0003197991,0.0004609285,0.0004199264,0.0003052659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112888,"about_ca_system_score_gemma":0.0009357344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03419505,"about_ca_topic_score_gemma":0.01930159,"domain_scores_codex":[0.9993203,0.0001156085,0.00003380003,0.0001953553,0.0001438589,0.0001910131],"domain_scores_gemma":[0.9996686,0.00009147491,0.00003312038,0.00002249352,0.0001396791,0.00004462249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001996323,0.0001173678,0.01096781,0.0002093441,0.00004252624,0.0001914434,0.0005251454,0.0006684641,0.9797035,0.0002110276,0.0002397065,0.005127358],"study_design_scores_gemma":[0.00006589119,0.001157646,0.07648078,0.0000406869,0.00008737345,0.0002742253,0.001787509,0.003746801,0.9106898,0.0003130299,0.005324359,0.00003184972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971552,0.0007346753,0.0003904831,0.0000969573,0.00001697578,0.000009688967,0.0001784718,0.000009030207,0.001408522],"genre_scores_gemma":[0.9952759,0.0004307982,0.0004249011,0.00002949041,0.000009629056,0.000009295387,0.0001581082,0.000007743069,0.003654161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03419505,"threshold_uncertainty_score":0.06799197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602787623778474,"score_gpt":0.2498895191514464,"score_spread":0.2338616429136617,"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."}}