{"id":"W4405279940","doi":"10.2478/nispa-2024-0018","title":"Theoretic Trends in Private-Public Partnership Research: Bibliometric Analysis","year":2024,"lang":"en","type":"article","venue":"NISPAcee Journal of Public Administration and Policy","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Scopus; General partnership; Multidisciplinary approach; Web of science; Bibliometrics; Public–private partnership; Political science; Regional science; Field (mathematics); Library science; Geography; Sociology; Social science; Computer science","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":["bibliometrics","scholarly_communication"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.00789128,0.0002604175,0.0004490383,0.2393539,0.0001907326,0.00498669,0.0005531721,0.0001967088,0.0006317294],"category_scores_gemma":[0.003220546,0.0002157649,0.0002478572,0.2522618,0.000284758,0.004139655,0.0001732202,0.0007786576,0.000059594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827323,"about_ca_system_score_gemma":0.0007199746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006902438,"about_ca_topic_score_gemma":0.0004255431,"domain_scores_codex":[0.9966114,0.0002535034,0.0008277808,0.0003718632,0.001135112,0.0008004039],"domain_scores_gemma":[0.9980262,0.0003748945,0.00039897,0.0003105452,0.0007162651,0.0001731479],"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":[0.00003697337,0.0001643672,0.045265,0.0001418218,0.0002408484,0.00009699005,0.0001776208,0.000004100541,0.00005617191,0.9128804,0.009918226,0.03101749],"study_design_scores_gemma":[0.00105085,0.0002352058,0.1984202,0.0000891013,0.0002547237,0.0001068347,0.0009007987,0.004255247,0.00005810078,0.02661904,0.7675194,0.000490546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7163646,0.001358711,0.0006938603,0.1775883,0.0003121632,0.0002106901,0.000005577991,0.0001329562,0.1033331],"genre_scores_gemma":[0.9956852,0.0001721472,0.00009388496,0.0006638807,0.00207017,0.0000114763,0.00003433684,0.00003265593,0.00123623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8862613,"threshold_uncertainty_score":0.9960462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1837724345642331,"score_gpt":0.4235454073753827,"score_spread":0.2397729728111495,"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."}}