{"id":"W2788001025","doi":"10.1071/ma18010","title":"The geomicrobiology of mining environments","year":2018,"lang":"en","type":"article","venue":"Microbiology Australia","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Urbanization; Population; Natural resource economics; Industrialisation; Environmental science; Earth science; Geography; Ecology; Geology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001891131,0.0001021375,0.0001244193,0.00002897041,0.00009568779,0.000005894216,0.0001663819,0.0001319261,0.0004642391],"category_scores_gemma":[0.00001289255,0.0000701834,0.00004793385,0.00004293029,0.0003664455,0.00002490546,0.00002848948,0.0001232366,0.0005666021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001932449,"about_ca_system_score_gemma":0.000003441595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008882042,"about_ca_topic_score_gemma":0.00002480588,"domain_scores_codex":[0.99937,0.00004887669,0.0002201722,0.0001115734,0.00001216545,0.0002372532],"domain_scores_gemma":[0.9997114,0.00005214184,0.00004575646,0.000159226,0.000007779541,0.00002370141],"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":[0.000007837369,0.000005762812,0.0006995837,0.000003436261,0.00004465122,4.668336e-7,0.00005545916,0.00003145972,0.9917312,0.00009646664,0.00640991,0.0009137142],"study_design_scores_gemma":[0.0001770452,0.00007005161,0.002897839,0.00000733221,0.00001244921,0.00006206805,0.00006474236,0.0000664878,0.5709317,0.00001905021,0.425573,0.0001181878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977879,0.0001020297,0.0003307267,0.00004093729,0.001021541,0.00005782043,0.00001571779,0.00003508938,0.0006082548],"genre_scores_gemma":[0.9968107,0.00002777555,0.0004191892,0.00003394368,0.00009844906,0.00000263296,0.000017045,0.00000871101,0.002581527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4207995,"threshold_uncertainty_score":0.7282713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006865122668643,"score_gpt":0.2451868986469675,"score_spread":0.2251182474202811,"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."}}