{"id":"W2016420539","doi":"10.5589/m13-054","title":"Assessment of Acid Sulphate Soil both on surface and in subsurface using hyperspectral data","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hyperspectral imaging; VNIR; Mineralogy; Environmental chemistry; Clay minerals; Chemistry; Environmental science; Geology; Remote sensing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008655273,0.00008661434,0.0001829777,0.0001015251,0.00005818482,0.00002507956,0.0001615335,0.00004732516,0.00002408878],"category_scores_gemma":[0.00009538788,0.00007927449,0.0000226905,0.0001464267,0.0001099384,0.0001753034,0.0000327437,0.0001758612,7.794948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184598,"about_ca_system_score_gemma":0.0001453458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01355104,"about_ca_topic_score_gemma":0.0369756,"domain_scores_codex":[0.9991305,0.00008953739,0.0002599727,0.0001424774,0.0001768991,0.0002006053],"domain_scores_gemma":[0.999311,0.00003069079,0.0002041254,0.0002249803,0.00001666041,0.0002125529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002499227,0.00002145397,0.01921203,0.00003903496,0.00003204725,0.0003881613,0.001476155,0.01608494,0.7820042,0.00004841435,0.000646234,0.1800224],"study_design_scores_gemma":[0.001231481,0.0003637283,0.06649113,0.0006492304,0.00006520055,0.0006251596,0.0009110311,0.7548309,0.1680698,0.001160067,0.005025602,0.0005766646],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888877,0.00007813517,0.009321094,0.0002852576,0.00007925306,0.00004944165,0.000003807462,0.00000282369,0.001292545],"genre_scores_gemma":[0.8805517,0.00002795396,0.1192804,0.00008522053,0.00002835553,8.313757e-10,0.000001341994,0.000008584588,0.00001643003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7387459,"threshold_uncertainty_score":0.9930178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512974857493364,"score_gpt":0.2703995544614184,"score_spread":0.2452698058864848,"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."}}