{"id":"W4318483331","doi":"10.1080/02508060.2023.2170039","title":"The governance of water innovation: To quench a thirst","year":2023,"lang":"en","type":"article","venue":"Water International","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Thirst; Corporate governance; Business; Political science; Environmental science; Finance","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":[],"category_scores_codex":[0.0008697127,0.00006563583,0.00006205068,0.00009602515,0.0003449815,0.0001569291,0.0006322397,0.0000265322,0.0004515218],"category_scores_gemma":[0.00003874884,0.00003546222,0.00003583472,0.0002921189,0.0001457368,0.0001195901,0.0001570885,0.00005933798,0.000994142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009242162,"about_ca_system_score_gemma":0.00001943586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008347229,"about_ca_topic_score_gemma":0.0007657378,"domain_scores_codex":[0.9986051,0.00004649642,0.0002402481,0.0001500229,0.0006768539,0.0002813304],"domain_scores_gemma":[0.9995925,0.00002802037,0.00002872455,0.0001471648,0.000175435,0.00002812622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001197175,0.00008447087,0.01128301,0.00002613178,0.0002585859,0.00002443093,0.1536414,0.001224058,0.01702369,0.713461,0.08714797,0.01570553],"study_design_scores_gemma":[0.000110306,0.00001134471,0.004398568,0.000009689306,0.000002291823,2.668089e-7,0.0005669185,0.00002310822,0.01353669,0.004076735,0.9772004,0.00006368635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7424059,0.000003800923,0.0002403582,0.1738334,0.001570193,0.000311695,0.00001907976,0.0001275016,0.08148804],"genre_scores_gemma":[0.9592682,0.00001252058,0.00005909992,0.0005612103,0.0002400874,0.00004226162,0.00002745115,0.000008135578,0.03978101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8900524,"threshold_uncertainty_score":0.9997837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424172912867154,"score_gpt":0.3010360036542785,"score_spread":0.276794274525607,"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."}}