{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002828988,0.0002257773,0.0005683705,0.0006411729,0.000882117,0.001850481,0.0002311904,0.0008784186,0.002163717],"category_scores_gemma":[0.0004661408,0.0001553851,0.0002468233,0.0004440276,0.0003226311,0.0003755596,0.0004851066,0.0004312272,0.000524213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528749,"about_ca_system_score_gemma":0.0008260431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01518162,"about_ca_topic_score_gemma":0.009362522,"domain_scores_codex":[0.9996381,0.00003347579,0.00001413527,0.0001441935,0.00009784397,0.00007222583],"domain_scores_gemma":[0.9997465,0.00004491583,0.0000267887,0.00001349293,0.0001274667,0.00004080497],"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":[0.0005140135,0.00004345383,0.009728311,0.0003091946,0.00002953709,0.0002671259,0.0003672137,0.0004461634,0.9806848,0.0002621331,0.000497923,0.006850031],"study_design_scores_gemma":[0.00005301466,0.000571263,0.1097431,0.00009739419,0.00009955504,0.0005772824,0.00251084,0.00340296,0.8622513,0.0007813815,0.0198742,0.00003771965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891801,0.002391137,0.002030259,0.0005778599,0.00009447899,0.00002435985,0.0005411058,0.00004815474,0.00511262],"genre_scores_gemma":[0.9889842,0.001082334,0.0005382099,0.00004810977,0.00003560678,0.00001174577,0.0002450618,0.00001617921,0.009038649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01518162,"threshold_uncertainty_score":0.03018653,"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."}}