{"id":"W4255974117","doi":"10.1080/02508060.2016.1161487","title":"Introduction","year":2016,"lang":"en","type":"article","venue":"Water International","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Institute for Sustainable Development","funders":"","keywords":"Environmental science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001256262,0.00005418057,0.00003550009,0.00009089394,0.00001963498,0.00002292706,0.0001570758,0.00001912307,0.01687524],"category_scores_gemma":[0.000034432,0.00002583116,0.00002806489,0.00001938177,0.0000348489,0.0002754786,0.00004999352,0.00002395886,0.07160751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180677,"about_ca_system_score_gemma":0.000003840429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005209777,"about_ca_topic_score_gemma":0.000002874451,"domain_scores_codex":[0.999376,0.00001459224,0.0001019356,0.0001613444,0.0002231296,0.0001229843],"domain_scores_gemma":[0.9997337,0.000006816188,0.00001716718,0.0001175029,0.00009866961,0.00002608262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004102226,0.00002727673,0.002176492,3.751868e-7,0.00003274321,0.000002293218,0.00007102791,0.000002886659,0.7964456,0.006794443,0.1891603,0.00524555],"study_design_scores_gemma":[0.0002527791,0.000006185583,0.002028327,0.000002458831,0.000001656159,0.00001706609,0.000002222032,0.00001168465,0.3213623,0.00194274,0.6743242,0.00004841034],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8474512,0.000002668957,0.003647858,0.1066633,0.005669059,0.0000894234,0.00006937332,0.0003571649,0.03604992],"genre_scores_gemma":[0.961112,8.216493e-7,0.000238673,0.0001013365,0.002946386,0.00001017853,0.00003600941,0.00001896435,0.03553559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.485164,"threshold_uncertainty_score":0.9840235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009441704130448989,"score_gpt":0.2371532971165709,"score_spread":0.2277115929861219,"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."}}