{"id":"W2950317440","doi":"10.1002/chin.201227254","title":"ChemInform Abstract: Iron in Microbial Metabolisms","year":2012,"lang":"en","type":"article","venue":"ChemInform","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Environmental chemistry","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":["insufficient_payload"],"category_scores_codex":[0.000253163,0.0001438527,0.0001290465,0.00002843593,0.00003848505,0.00002124231,0.0001783926,0.0001231435,0.01485098],"category_scores_gemma":[0.00002122478,0.0001260614,0.000056999,0.0001722507,0.00007001687,0.0006252829,0.0001241144,0.0001341616,0.001895763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001878343,"about_ca_system_score_gemma":0.000008006778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002275456,"about_ca_topic_score_gemma":0.00006545733,"domain_scores_codex":[0.9989834,4.12418e-8,0.0002671161,0.0001257485,0.0001706759,0.0004530021],"domain_scores_gemma":[0.9995998,0.00001250274,0.00008902437,0.0001621044,0.000003944886,0.0001326313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002438262,0.0001429479,0.005972057,0.00004619583,0.000003565977,0.000001199308,0.001983243,0.000001281695,0.402249,0.00003589528,0.1129803,0.47656],"study_design_scores_gemma":[0.0002790979,0.000005019052,0.04787808,0.000005616354,0.00000559911,0.000004750641,0.00005720792,0.000001718729,0.5746818,0.000009629505,0.3768829,0.0001885273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2425938,0.00006671387,5.950133e-8,0.00006697283,0.0002171263,0.0001316259,0.000005620872,0.00002338865,0.7568946],"genre_scores_gemma":[0.9862648,0.00006023892,0.00007842043,0.0004069895,0.0002356269,0.000009276905,0.00005970433,0.0000111896,0.01287376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7440209,"threshold_uncertainty_score":0.9988814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00878229827796366,"score_gpt":0.206176375922534,"score_spread":0.1973940776445703,"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."}}