{"id":"W3175183693","doi":"10.82308/9140","title":"Development of a group built coupled physical - socio-economic modelling framework for soil salinity management in agricultural watersheds in developing countries","year":2017,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Agriculture; Developing country; Salinity; Water resource management; Environmental resource management; Group (periodic table); Environmental science; Geography; Business; Hydrology (agriculture); Environmental planning; Engineering; Economic growth; Economics; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009134446,0.0006401351,0.0007639141,0.0008212787,0.0008770411,0.002445369,0.001803866,0.001940354,0.003156683],"category_scores_gemma":[0.001675987,0.000511025,0.00146212,0.0009839335,0.0008549474,0.001577331,0.0024245,0.001317697,0.0004139521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689038,"about_ca_system_score_gemma":0.003338638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03522198,"about_ca_topic_score_gemma":0.03166242,"domain_scores_codex":[0.9995611,0.0002203429,0.00002911991,0.00008199221,0.00006418186,0.00004324895],"domain_scores_gemma":[0.9995665,0.0002010291,0.00005245588,0.00003652607,0.00009856972,0.00004497791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000128517,0.00003067507,0.002586641,0.00005530239,0.0000454477,0.0001567603,0.0002571279,0.9459299,0.000527031,0.0422679,0.000461383,0.00766902],"study_design_scores_gemma":[0.000009033237,0.00001598375,0.0005580885,0.00002603293,0.00001637309,0.00002065431,0.0001845166,0.9798127,0.0001288645,0.01533705,0.003877031,0.00001361678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05775271,0.0004177807,0.9201088,0.001536404,0.0001086699,0.0002004561,0.000887961,0.0004322612,0.01855493],"genre_scores_gemma":[0.6644656,0.00103096,0.3234287,0.0001928119,0.00006766469,0.0006709107,0.0007910754,0.0001578422,0.009194436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03522198,"threshold_uncertainty_score":0.07003397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897755908286574,"score_gpt":0.2567759013109246,"score_spread":0.2277983422280589,"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."}}