{"id":"W7162039746","doi":"10.82308/43119","title":"Power analysis among riparian countries to improve river basin organisation implementation in transboundary waters","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage basin; Riparian zone; Context (archaeology); Power (physics); Natural resource","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":[0.001063772,0.0003867503,0.0005278051,0.001358501,0.0006292056,0.0005882292,0.0004674537,0.0002974173,0.007235182],"category_scores_gemma":[0.00001665928,0.0003413341,0.0002471863,0.001039379,0.0002123792,0.0006030721,0.00001985892,0.0001729383,0.0002448448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009818509,"about_ca_system_score_gemma":0.0003363355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05300492,"about_ca_topic_score_gemma":0.3297979,"domain_scores_codex":[0.9964357,0.000330278,0.0007170068,0.0007666611,0.001050779,0.0006995488],"domain_scores_gemma":[0.9990472,0.00005669461,0.0002127168,0.0003356806,0.0001462895,0.000201448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003535015,0.0001242044,0.3011144,0.0001323382,0.001564823,0.0000219033,0.6793541,0.00004122852,0.0005655339,0.004890767,0.00147725,0.01035993],"study_design_scores_gemma":[0.001237958,0.0001072786,0.7675806,0.00006833275,0.0009419739,4.787517e-8,0.08614949,0.000003330319,0.00197986,0.0009654214,0.140019,0.0009467964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534513,0.00001259324,0.001690725,0.002456728,0.0007976754,0.001927433,0.0001327542,0.0001608494,0.03936999],"genre_scores_gemma":[0.9786217,0.00003146041,0.0001914005,0.0003556924,0.00009783085,0.0001638577,0.0009996389,0.00005295195,0.01948546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5932046,"threshold_uncertainty_score":0.9999039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005305349572307387,"score_gpt":0.2840389915964351,"score_spread":0.2787336420241278,"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."}}