{"id":"W4399721667","doi":"10.1016/j.geoforum.2024.104053","title":"Unpacking water governance dynamics and its implications for household water security in post-disaster resettlement communities in the Philippines","year":2024,"lang":"en","type":"article","venue":"Geoforum","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Hong Kong University of Science and Technology","keywords":"Unpacking; Corporate governance; Water security; Dynamics (music); Business; Environmental planning; Economic growth; Environmental resource management; Sociology; Geography; Economics; Water resources; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018328,0.0002069834,0.0001576318,0.0007099924,0.001763386,0.001999813,0.0003736923,0.000288341,0.002970391],"category_scores_gemma":[0.001949764,0.000136501,0.0001503088,0.0008498038,0.002513769,0.001863981,0.002554843,0.0007349443,0.000112825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002185223,"about_ca_system_score_gemma":0.002240853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02812558,"about_ca_topic_score_gemma":0.06250254,"domain_scores_codex":[0.9993166,0.0003425658,0.00001684941,0.00005513068,0.00004257508,0.0002264358],"domain_scores_gemma":[0.9985862,0.0003527979,0.0004135035,0.00007341852,0.0002221748,0.0003519806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006671684,0.0001071995,0.7113591,0.0002285788,0.0000513226,0.001799742,0.2226719,0.001029803,0.001360667,0.01399542,0.001810964,0.04551864],"study_design_scores_gemma":[0.000003850616,0.0000730072,0.5853776,0.0002027254,0.00001737092,0.0001587197,0.4000772,0.001386723,0.0002381895,0.004138546,0.008300483,0.00002565439],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938388,0.0003426418,0.0004128975,0.002201434,0.000009331091,0.00001684483,0.00005010888,0.000004824117,0.003123094],"genre_scores_gemma":[0.9994281,0.0001777874,0.00009724032,0.00005715935,0.000003758824,0.000007022501,0.0000152649,0.000001434007,0.000212231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02812558,"threshold_uncertainty_score":0.05592376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03168159635030827,"score_gpt":0.3676970063190966,"score_spread":0.3360154099687884,"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."}}