{"id":"W2711395356","doi":"10.5942/jawwa.2017.109.0113","title":"Projecting Financial Capability in Small Canadian Drinking Water Treatment Systems","year":2017,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Water resources management and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Calgary","funders":"","keywords":"Revenue; Water supply; Population; Business; Water treatment; Service (business); Point (geometry); Environmental science; Environmental economics; Water resource management; Finance; Environmental engineering; Economics; Mathematics; Marketing; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008008596,0.0006581377,0.0002551711,0.001480426,0.0007854991,0.001526634,0.0008756262,0.0003928484,0.001973782],"category_scores_gemma":[0.003590439,0.0002522343,0.0006266229,0.002260939,0.0004935989,0.000753575,0.0008767057,0.0006670353,0.0001184154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02242853,"about_ca_system_score_gemma":0.01558371,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9523922,"about_ca_topic_score_gemma":0.9395159,"domain_scores_codex":[0.9994529,0.00008262854,0.00001197733,0.00004798588,0.0001833542,0.0002210567],"domain_scores_gemma":[0.9990801,0.0002346279,0.00009765581,0.00003199726,0.0004069916,0.0001486227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001197508,0.00009333663,0.06588597,0.00008287547,0.00007130107,0.0001785183,0.0001377501,0.8914795,0.0005262636,0.01255518,0.002211325,0.02665832],"study_design_scores_gemma":[0.00003602793,0.0001134484,0.08380947,0.00004604985,0.00005493698,0.00003627475,0.0008950042,0.9033864,0.001165379,0.004144844,0.006250598,0.00006158937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707454,0.0002099643,0.008200148,0.0006047874,0.00001305371,0.0001365834,0.003760705,0.00006005759,0.01626925],"genre_scores_gemma":[0.9929351,0.0002595405,0.003565033,0.0000232321,0.000003299433,0.00003861126,0.001480009,0.000008277144,0.00168688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04760778,"threshold_uncertainty_score":0.1627312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009021797196495943,"score_gpt":0.1916986903368687,"score_spread":0.1826768931403727,"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."}}