{"id":"W3158648993","doi":"10.24908/iqurcp.7731","title":"H2O for All? Examining the Potential of Public-Public Partnerships in the Water Sector","year":2017,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Typology; Public sector; General partnership; Government (linguistics); Business; Private sector; Water sector; Public service; Public relations; Economic growth; Public administration; Political science; Water supply; Economics; Sociology; Economy; Engineering; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006896735,0.0001436096,0.0002124996,0.0010408,0.004425539,0.008245993,0.0006549282,0.00142487,0.007126086],"category_scores_gemma":[0.008875582,0.0001812158,0.0002612795,0.001552755,0.008815303,0.01185127,0.005400675,0.002189548,0.0004240222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004167465,"about_ca_system_score_gemma":0.006223861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007474498,"about_ca_topic_score_gemma":0.01501695,"domain_scores_codex":[0.995288,0.003203413,0.00004638354,0.0001370933,0.0003548796,0.0009701462],"domain_scores_gemma":[0.9915837,0.005348769,0.001209767,0.000311268,0.000516386,0.001030059],"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":[0.0001464976,0.0006068666,0.06096796,0.0004268292,0.00002614013,0.0004882218,0.143123,0.0002304555,0.0002183099,0.7042695,0.01143117,0.07806505],"study_design_scores_gemma":[0.00003510906,0.0001481065,0.03194096,0.0006701315,0.00003273548,0.0001844668,0.7888204,0.0004711229,0.0002954615,0.09545932,0.08192331,0.00001876948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6477302,0.005295823,0.0009142259,0.08025242,0.0001452157,0.0000933445,0.00006922216,0.000009703917,0.2654898],"genre_scores_gemma":[0.9942793,0.002051773,0.0002117252,0.001286339,0.00002688977,0.00002961773,0.000008090354,0.000003575333,0.002102652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008245993,"threshold_uncertainty_score":0.03647387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4392556017077126,"score_gpt":0.3962440860283878,"score_spread":0.04301151567932476,"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."}}