{"id":"W2889855185","doi":"10.31227/osf.io/4r5pk","title":"POTENSI SUMBERDAYA AIR SUB DAS SERAYU","year":2018,"lang":"id","type":"preprint","venue":"","topic":"Wetland Management and Conservation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Environmental science; Forestry; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002847855,0.0005454143,0.0004547946,0.0001853361,0.0001181017,0.0001497266,0.0004181525,0.0004566901,0.0009925242],"category_scores_gemma":[0.0000255068,0.0005586985,0.0002184402,0.00019297,0.00005145444,0.0001895085,0.000589613,0.0004678191,0.003634733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001176418,"about_ca_system_score_gemma":0.00004813244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005139174,"about_ca_topic_score_gemma":0.0006131314,"domain_scores_codex":[0.9980065,0.00004516761,0.0004996908,0.0006131979,0.0003137371,0.0005217594],"domain_scores_gemma":[0.9986364,0.00004137049,0.0001083664,0.0008809954,0.0001998749,0.0001329468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001212903,0.0002148477,0.0234178,0.00246418,0.002083966,0.0001216175,0.0008873207,0.01184102,0.003619553,0.02838176,0.9082913,0.01855534],"study_design_scores_gemma":[0.001159018,0.0001044346,0.144084,0.0004864768,0.0005026199,0.00001089816,0.000165408,0.04728972,0.00843856,0.00360224,0.7920243,0.002132345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5331638,0.0002459079,0.02634188,0.003285778,0.006506222,0.001103662,0.00001841381,0.001530443,0.4278038],"genre_scores_gemma":[0.9002692,0.000782363,0.001725823,0.001162417,0.001678211,0.00007160532,0.0005219977,0.0001442572,0.09364409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3671054,"threshold_uncertainty_score":0.9999207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242297149742836,"score_gpt":0.2217955383086729,"score_spread":0.2093725668112446,"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."}}