{"id":"W3158442265","doi":"10.18517/ijaseit.11.2.13672","title":"Characterization of River Sediments in Loja-Ecuador","year":2021,"lang":"en","type":"article","venue":"International Journal on Advanced Science Engineering and Information Technology","topic":"Water Resource Management and Quality","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Geography; Water resource management; Geology; Forestry","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":[0.0001392958,0.0002763533,0.000240672,0.001879318,0.0004730046,0.001085316,0.0002614626,0.000279949,0.0005780063],"category_scores_gemma":[0.0004290211,0.0001087516,0.0001237101,0.00127946,0.0001536526,0.0002978014,0.0003632809,0.00008912409,0.0001032609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003299841,"about_ca_system_score_gemma":0.0002102238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011363,"about_ca_topic_score_gemma":0.01572979,"domain_scores_codex":[0.9999113,0.000006578495,0.00001513629,0.00002714573,0.00001918951,0.00002066296],"domain_scores_gemma":[0.9998957,0.000009872661,0.00004271003,0.000004796414,0.00003669181,0.00001028783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003003782,0.00009735583,0.8676715,0.0002677833,0.00009172655,0.003225631,0.002687333,0.000998624,0.06419943,0.0002150245,0.0001854306,0.06005979],"study_design_scores_gemma":[0.000007703071,0.00005509141,0.9901488,0.00002431082,0.00002854942,0.0004361312,0.002149108,0.0006828117,0.003327441,0.0000418276,0.003090877,0.000007470837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983776,0.0004001031,0.0001678303,0.00001873223,0.000002306268,0.000008071389,0.000156752,0.00001271706,0.0008560179],"genre_scores_gemma":[0.9982165,0.0002770988,0.0005611356,0.00001355017,0.000003586137,0.00001556099,0.0002966269,0.000005938813,0.0006100522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.011363,"threshold_uncertainty_score":0.02259374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003528147377247525,"score_gpt":0.2111087561868689,"score_spread":0.2075806088096214,"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."}}