{"id":"W2911398220","doi":"10.24102/ijes.v6i4.897","title":"Restoring and Managing Langat River Basin, Malaysia: Challenges for a Sustainable Future","year":2018,"lang":"en","type":"article","venue":"International Journal of Environment and Sustainability","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Drainage basin; Water resource management; Business; Environmental science; Geography; Cartography","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":[0.0007354065,0.00011469,0.0001372854,0.00006739764,0.0001163733,0.00005239424,0.0001882963,0.00004020984,0.0001238949],"category_scores_gemma":[0.00005382766,0.00009644331,0.00005317776,0.00002665594,0.0002793348,0.0004522216,0.0003438878,0.00008671532,0.000002321181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004415069,"about_ca_system_score_gemma":0.00001045903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005495567,"about_ca_topic_score_gemma":0.000009048944,"domain_scores_codex":[0.9989816,0.00003952739,0.000219939,0.0002128695,0.0003348158,0.0002112536],"domain_scores_gemma":[0.9995459,0.00004711739,0.0001424885,0.0001177841,0.00006498315,0.00008174701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001313035,0.0007058182,0.5869631,0.0003726933,0.0005209533,0.0004167177,0.009743473,0.0009332685,0.0002127427,0.04294218,0.00703187,0.3488441],"study_design_scores_gemma":[0.001476651,0.0006245389,0.407802,0.00002041945,0.00007701062,0.0000363755,0.01325949,0.0008793643,0.0001047476,0.05774899,0.5177249,0.000245483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769033,0.0007561359,0.004921664,0.01472364,0.0002704776,0.0003604221,0.000001574352,0.000009214867,0.002053573],"genre_scores_gemma":[0.9938964,0.001983446,0.002177748,0.000119707,0.0004803693,0.0000109665,0.00000110563,0.000009220622,0.001321016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.510693,"threshold_uncertainty_score":0.3932844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006854503028915522,"score_gpt":0.2444139438859435,"score_spread":0.237559440857028,"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."}}