{"id":"W2079013826","doi":"10.1139/w01-021","title":"Monitoring of bacteria in acid mine environments by reverse sample genome probing","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Bacteria; Genome; Biology; Sample (material); Computational biology; Microbiology; Genetics; Chemistry; Gene; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002519024,0.0005894776,0.0003128752,0.0005876351,0.0001797303,0.0002887454,0.0003807892,0.0006606883,0.000563078],"category_scores_gemma":[0.0005577775,0.0002739815,0.0003039635,0.0006939169,0.0002434997,0.0002898561,0.0004203433,0.0004418738,0.000456446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000803523,"about_ca_system_score_gemma":0.00009752401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004626788,"about_ca_topic_score_gemma":0.0006137886,"domain_scores_codex":[0.9994856,0.0001069144,0.00002608144,0.0001958079,0.0001268916,0.00005869864],"domain_scores_gemma":[0.9997146,0.00008560696,0.0000684392,0.00003050693,0.00007866179,0.00002221646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004046084,0.00001293207,0.003045792,0.00003707486,0.000006862535,0.00004291425,0.00005290916,0.0000480352,0.9931422,0.0000264836,0.0000301742,0.00351404],"study_design_scores_gemma":[0.00001238812,0.0005536923,0.05279773,0.00002138609,0.00007900169,0.001393028,0.0002734445,0.004729944,0.9367631,0.000200268,0.003155436,0.00002063858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959179,0.0006438852,0.0366672,0.0001064634,0.00001622033,0.00008783941,0.001245271,0.000417837,0.00163618],"genre_scores_gemma":[0.8874213,0.00118344,0.1037359,0.0002780854,0.0000190082,0.000271029,0.004777921,0.00008504136,0.002228187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006606883,"threshold_uncertainty_score":0.001883686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170056730760626,"score_gpt":0.1920434949045301,"score_spread":0.1803429275969239,"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."}}