{"id":"W4237518956","doi":"10.1007/978-1-4939-7131-2_101451","title":"Water Army","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Aeronautics; Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002862806,0.0009625739,0.0003347908,0.001278596,0.001464812,0.002728067,0.0005834231,0.001160661,0.4279343],"category_scores_gemma":[0.000642057,0.0003083128,0.0002481357,0.001436952,0.0004385319,0.002511085,0.001668831,0.001679304,0.2781985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083335,"about_ca_system_score_gemma":0.001932517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009052467,"about_ca_topic_score_gemma":0.02444999,"domain_scores_codex":[0.9997602,0.00001939323,0.000008569733,0.00004521734,0.0001260611,0.00004052167],"domain_scores_gemma":[0.9998623,0.00001538405,0.000008163528,0.00002201453,0.00006125158,0.00003095296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001867547,0.00002615362,0.0001227822,0.00007105578,0.000001649311,0.0000517104,0.0001427234,0.0001255022,0.0004578139,0.03356969,0.7283357,0.2370766],"study_design_scores_gemma":[9.20121e-7,0.000002019892,0.00005145566,0.00001675961,3.814594e-7,0.00001171804,0.00002616784,0.00002961096,0.00006474545,0.001235912,0.9985593,0.000001065285],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003214224,0.001334009,0.001327767,0.001465573,0.0008334423,0.00002917147,0.0008486482,0.0003894004,0.9934505],"genre_scores_gemma":[0.0009827805,0.0007002978,0.0003301416,0.0001737361,0.00005945408,0.00001462629,0.0003331453,0.00009972479,0.9973061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4279343,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285958163095147,"score_gpt":0.2598121957016199,"score_spread":0.2312163793921052,"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."}}