{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003544317,0.0001721333,0.0002690014,0.00008315132,0.00009018171,0.00003015401,0.0001431454,0.00009896707,0.0002156285],"category_scores_gemma":[0.0000749072,0.0001341205,0.00005318536,0.000128189,0.00002688743,0.0004024938,0.0002016833,0.0001895945,0.0001405699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000054155,"about_ca_system_score_gemma":0.00004114107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002833825,"about_ca_topic_score_gemma":0.0000866649,"domain_scores_codex":[0.9987904,0.00002788487,0.0002304175,0.0002639192,0.0002144135,0.000472918],"domain_scores_gemma":[0.998966,0.00003321785,0.00005623555,0.0006268186,0.00003299514,0.0002847099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003910499,0.00009478363,0.9698893,0.00003329101,0.00004439665,0.0000176124,0.0006577989,0.0000012184,0.01683399,0.000004440158,0.0001883255,0.01219567],"study_design_scores_gemma":[0.003407817,0.00005486666,0.9556765,0.0002072903,0.0002085262,0.0002330153,0.0008643885,0.007117612,0.01081496,0.000001192905,0.0210396,0.0003742154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926987,0.00121613,0.001450675,0.00008348953,0.0008369409,0.0001739132,0.00001291003,0.0001653836,0.003361896],"genre_scores_gemma":[0.965945,0.00004620521,0.02994511,0.0001594647,0.001362192,0.00000215936,0.000136533,0.00003525572,0.002368054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02849443,"threshold_uncertainty_score":0.5469275,"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."}}