{"id":"W4382983351","doi":"10.1007/s12649-023-02195-4","title":"Improvement in Mine Tailings Biophysicochemical Properties by Means of Cyanobacterial Inoculation","year":2023,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Tailings; Cyanobacteria; Environmental science; Anabaena; Environmental chemistry; Chemistry; Biology; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000732793,0.00006705208,0.0001024828,0.00001846213,0.00003532574,0.00001499409,0.00004373232,0.00007828152,0.00001599715],"category_scores_gemma":[0.00001059575,0.00002839986,0.00002073972,0.0003254991,0.00004044975,0.00006992236,0.00003966898,0.00002199049,0.000002861078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001062634,"about_ca_system_score_gemma":0.000003887375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004488273,"about_ca_topic_score_gemma":0.0002118534,"domain_scores_codex":[0.9994837,0.00001569657,0.0001728796,0.000149812,0.00005850236,0.0001194175],"domain_scores_gemma":[0.9998562,0.00001087635,0.00006103504,0.00001926526,0.0000315684,0.00002101714],"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":[0.0000307552,0.00003703065,0.001836477,0.00001711384,0.000003345957,2.034721e-7,0.00005325205,0.000001567696,0.9871286,0.00002600101,0.00009142164,0.01077423],"study_design_scores_gemma":[0.0002265125,0.0002073933,0.009151571,0.00001550764,0.00000524937,3.221434e-7,0.0001694111,0.0004616074,0.9888279,0.00004766535,0.0008057181,0.00008118337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991912,0.00001623563,0.000002558558,0.0004709823,0.0001055118,0.0001463602,0.00002629901,0.00002178835,0.00001910513],"genre_scores_gemma":[0.9993773,0.00004447774,0.000006877288,0.00002662551,0.00009805147,0.000007283857,0.0003647456,7.192975e-7,0.00007399505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069305,"threshold_uncertainty_score":0.1158113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256554422657946,"score_gpt":0.1867950049037801,"score_spread":0.1742294606772007,"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."}}