{"id":"W4382698750","doi":"10.1080/07011784.2023.2224295","title":"A quantification and analysis of historical sectoral and regional water withdrawals in Canada","year":2023,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Environmental science; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005786922,0.0002865659,0.000589947,0.001075847,0.0004543651,0.000079914,0.0003264963,0.00009940771,0.0001223897],"category_scores_gemma":[0.00004712218,0.000209919,0.00008568,0.0008245799,0.0003939187,0.0002235162,0.000119423,0.0002463076,0.000003510084],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003920428,"about_ca_system_score_gemma":0.00001753812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961725,"about_ca_topic_score_gemma":0.9998564,"domain_scores_codex":[0.99738,0.000209987,0.0006088993,0.0004976,0.000233291,0.001070236],"domain_scores_gemma":[0.9985246,0.00007343795,0.0001367884,0.0002618113,0.00005071338,0.0009526399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001013576,0.00002181083,0.6233613,0.0001158253,0.0007046925,0.001601361,0.3504544,0.008915828,0.01056007,0.00002192916,0.0005590286,0.00358243],"study_design_scores_gemma":[0.0005647531,0.0002212781,0.4949231,0.0001885095,0.0004214722,0.0006121785,0.002891251,0.007313505,0.00433833,0.00384136,0.4836848,0.0009994274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969542,0.0004901263,0.000003738195,0.001780592,0.00008005239,0.00009554977,0.00005724236,0.00001615933,0.0005223425],"genre_scores_gemma":[0.9987581,0.0001635565,0.00004138296,0.0001651522,0.00005563829,0.00001447039,0.00004133302,0.00003280857,0.0007275734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4831257,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192957674145936,"score_gpt":0.1867512693888868,"score_spread":0.1674555019742932,"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."}}