{"id":"W2900910768","doi":"10.4095/291594","title":"Sustainable management and rehabilitation of mine sites for decision support - remote sensing innovations and applications","year":2013,"lang":"en","type":"report","venue":"","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Rehabilitation; Decision support system; Business; Environmental planning; Environmental resource management; Computer science; Engineering; Geography; Environmental science; Medicine; Data mining; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001176581,0.0006266354,0.0004487376,0.001889208,0.0008856867,0.003147879,0.001166007,0.0009594625,0.01063848],"category_scores_gemma":[0.002245834,0.0002252516,0.0004164472,0.002236642,0.0006734341,0.00176657,0.001758903,0.0005334138,0.002892988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806241,"about_ca_system_score_gemma":0.004403206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01928325,"about_ca_topic_score_gemma":0.04542281,"domain_scores_codex":[0.9991971,0.0002296506,0.00005469422,0.00009251916,0.0003290776,0.00009696692],"domain_scores_gemma":[0.9989027,0.0002399776,0.0001036378,0.0001781687,0.0004485525,0.0001270479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007003255,0.0003004011,0.01227841,0.0008263871,0.00006399252,0.000442729,0.0006599406,0.07510199,0.01460262,0.02183718,0.04529712,0.8285192],"study_design_scores_gemma":[0.00006588076,0.0003123361,0.02481175,0.001234711,0.00008283434,0.0004954543,0.006825006,0.4757503,0.01529257,0.0851357,0.3898589,0.0001345696],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.088774,0.005563634,0.688126,0.01601501,0.0004862694,0.00185666,0.005631789,0.008501387,0.1850453],"genre_scores_gemma":[0.5302624,0.007695944,0.4271139,0.0007160036,0.0001355107,0.0004793968,0.003515465,0.0003519438,0.02972949],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01928325,"threshold_uncertainty_score":0.03834206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697891619804607,"score_gpt":0.2681329929514157,"score_spread":0.2511540767533696,"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."}}