{"id":"W6980371538","doi":"","title":"Calculating Sustainability Indices of Water and Basin to Maintain Sustainability Development (Case Study: Gamasiab Basin Watershed)","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Water resources; Structural basin; Sustainable development; Water use; Dry season; Drainage basin; Wet season","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008089387,0.0005242358,0.001064574,0.0004413507,0.0005512664,0.0005702655,0.001768745,0.0001419373,0.004999924],"category_scores_gemma":[0.001092733,0.0003211581,0.0001695656,0.0007056352,0.0006657157,0.001929086,0.004944889,0.0002783946,0.000006915281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817817,"about_ca_system_score_gemma":0.0001734083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687073,"about_ca_topic_score_gemma":0.0008915793,"domain_scores_codex":[0.9938195,0.001360689,0.001619799,0.001130547,0.001016962,0.001052452],"domain_scores_gemma":[0.9971491,0.0003928732,0.0005044388,0.0009318099,0.0003899026,0.0006318765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002923435,0.0007438561,0.9314626,0.0002685002,0.00008010973,0.000496132,0.008942454,0.0002333811,0.003730111,0.000009822985,0.0001876094,0.05355307],"study_design_scores_gemma":[0.0008844072,0.00008019924,0.9408397,0.00008231259,0.00005293961,0.00007061213,0.01618283,0.00001818967,0.02856885,0.008304069,0.004355896,0.0005599964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950566,0.0001016577,0.0008937274,0.001049292,0.0000644844,0.002574579,0.00001442621,0.00003337932,0.0002118907],"genre_scores_gemma":[0.9989761,0.00002046115,0.0004310787,0.0001049684,0.0000301684,0.0001256358,0.000002926951,0.00004518996,0.0002634797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05299308,"threshold_uncertainty_score":0.9999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08787253421668746,"score_gpt":0.4622701480062684,"score_spread":0.374397613789581,"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."}}