{"id":"W2997703185","doi":"10.1038/s41598-019-55935-9","title":"Understanding the Capability of an Ecosystem Nature-Restoration in Coal Mined Area","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ecosystem; Coal mining; Coal; Ecological succession; Natural (archaeology); Resource (disambiguation); Mining engineering; Environmental science; Natural resource; Environmental remediation; Surface mining; Environmental resource management; Ecology; Geology; Computer science; Biology; Waste management; Engineering; Paleontology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002219092,0.00009706504,0.0001563229,0.0005491985,0.000256555,0.0006119821,0.0002000148,0.0003308522,0.0007659986],"category_scores_gemma":[0.0007859902,0.00006735051,0.000182621,0.0005799101,0.0002724527,0.0007839582,0.0003065542,0.0001695121,0.0001166871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915043,"about_ca_system_score_gemma":0.000285238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008445906,"about_ca_topic_score_gemma":0.01372403,"domain_scores_codex":[0.9998733,0.00001811502,0.00001001829,0.00004053066,0.00002887747,0.0000291867],"domain_scores_gemma":[0.9996891,0.00006645609,0.00009589145,0.00004213857,0.00007935781,0.00002697676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008626182,0.0001313082,0.9203601,0.0001194495,0.00007126635,0.0004847843,0.0006944946,0.02818511,0.01819228,0.00098919,0.0004382584,0.03024757],"study_design_scores_gemma":[0.00000257951,0.00004154281,0.9328479,0.00001568678,0.00002292893,0.0002602745,0.002112261,0.05869676,0.003340807,0.001215183,0.001432019,0.00001232028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976825,0.00006548728,0.001392594,0.00003336155,0.000001948658,0.000003804822,0.0001600266,0.00001006201,0.0006502182],"genre_scores_gemma":[0.9989645,0.00003102455,0.0006945286,0.00000418099,0.000001296416,0.000001840784,0.0001484497,0.00000149661,0.0001526065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008445906,"threshold_uncertainty_score":0.01679349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753963750897837,"score_gpt":0.2222386848867973,"score_spread":0.1846990473778189,"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."}}