{"id":"W1975462817","doi":"10.1139/w05-055","title":"Applying a most probable number method for enumerating planktonic, dissimilatory, ammonium-producing, nitrate-reducing bacteria in oil field waters","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Lymphatic Education and Research Network","keywords":"Nitrate; Autotroph; Most probable number; Environmental chemistry; Chemistry; Ammonium; Bacteria; Heterotroph; Sulfate-reducing bacteria; Ammonia; Biology; Biochemistry; Sulfate; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001564671,0.0008522946,0.0007117704,0.002410981,0.0006595483,0.000634905,0.0007733201,0.0007655443,0.001228692],"category_scores_gemma":[0.002521561,0.0003911184,0.0003121149,0.001264684,0.0004649218,0.0006559595,0.0005104168,0.0005323123,0.000786584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000408355,"about_ca_system_score_gemma":0.0005875751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705819,"about_ca_topic_score_gemma":0.006066905,"domain_scores_codex":[0.9975244,0.0005264264,0.0003042337,0.000503096,0.001026971,0.0001149629],"domain_scores_gemma":[0.9988387,0.000421803,0.0001743609,0.00008680386,0.0003643509,0.0001140209],"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":[0.000593738,0.0002498776,0.03014088,0.0004251126,0.00003993217,0.0001705561,0.000256635,0.0007041815,0.9017609,0.0003419719,0.0003089779,0.06500737],"study_design_scores_gemma":[0.0001336482,0.002850081,0.1136881,0.0001405064,0.0001666727,0.002696647,0.0007074499,0.02098235,0.8443317,0.001231553,0.01293101,0.0001401314],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6909478,0.002903772,0.2975101,0.0002983973,0.0001813984,0.001004875,0.001686545,0.0003165597,0.005150619],"genre_scores_gemma":[0.2989226,0.002063574,0.6914655,0.00008583959,0.00004029491,0.001032481,0.001703789,0.00005670897,0.004629105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002705819,"threshold_uncertainty_score":0.008274853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122175221056721,"score_gpt":0.2252704145069684,"score_spread":0.2140486622964012,"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."}}