{"id":"W7098559246","doi":"","title":"TRAIL ROAD LANDFILL SITE MONITORING USING MULTI-TEMPORAL LANDSAT SATELLTE DATA","year":2012,"lang":"en","type":"article","venue":"","topic":"Silymarin and Mushroom Poisoning","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Municipal solid waste; Leachate; Vegetation (pathology); Landfill gas; Waste disposal; Urban waste; Groundwater","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002566705,0.0002347286,0.0001835783,0.00182339,0.0002578043,0.0004719187,0.0002870776,0.0001994416,0.0007889869],"category_scores_gemma":[0.0003045659,0.0001195819,0.0002886081,0.002238024,0.0001362842,0.0003916499,0.0002993691,0.0001422838,0.0002778026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006153833,"about_ca_system_score_gemma":0.0008829588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04750733,"about_ca_topic_score_gemma":0.137784,"domain_scores_codex":[0.9997749,0.00002152757,0.00002009601,0.00005519932,0.00008747869,0.00004073894],"domain_scores_gemma":[0.999656,0.00002037761,0.0001016071,0.00004743438,0.0001429542,0.00003161758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004935752,0.000395973,0.7831908,0.0002198822,0.0002271556,0.0008271388,0.0005514243,0.02402887,0.05676838,0.00049951,0.003949891,0.1288474],"study_design_scores_gemma":[0.00002961755,0.0001079156,0.907554,0.00002496632,0.00009892602,0.0002081419,0.001002017,0.06329324,0.01919612,0.000144977,0.008295389,0.00004464187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846809,0.0001105876,0.002443489,0.00003665802,0.000007808234,0.00005504081,0.01007774,0.0002440387,0.002343678],"genre_scores_gemma":[0.9773058,0.0001157413,0.008570937,0.000009627316,0.000005708154,0.00004954275,0.01253974,0.00001476952,0.001388092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04750733,"threshold_uncertainty_score":0.09446162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2239697726753678,"score_gpt":0.3886794153895552,"score_spread":0.1647096427141874,"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."}}