{"id":"W3111282224","doi":"10.23889/ijpds.v5i5.1524","title":"The Role of Partnership in The Integration of Intersectoral Data","year":2020,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Health Information; University of New Brunswick","funders":"","keywords":"General partnership; Data sharing; Business; Legislature; Public relations; Data governance; Knowledge management; Best practice; Political science; Computer science; Data quality; Marketing; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.003743537,0.00004927371,0.00008725563,0.0001026543,0.0001525074,0.0002090662,0.003829557,0.00001756434,0.000009041142],"category_scores_gemma":[0.00528922,0.00002787103,0.00002125682,0.0003658698,0.0001408808,0.002577658,0.00056397,0.0001055698,0.000002407512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002087214,"about_ca_system_score_gemma":0.00006134152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003243028,"about_ca_topic_score_gemma":0.0006541446,"domain_scores_codex":[0.9987637,0.000028279,0.0004847779,0.0001542654,0.000420056,0.0001489682],"domain_scores_gemma":[0.9986194,0.0001945695,0.0005013542,0.000340026,0.0003308793,0.00001373963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002560437,0.00007220364,0.09505065,0.00003174051,0.0000264645,0.000001084897,0.0004984065,0.001817481,0.0009413608,0.7204579,0.1173657,0.063481],"study_design_scores_gemma":[0.0001962826,0.00001570944,0.04887435,0.00002476084,0.000006665391,0.000003437188,0.001688116,0.4798886,0.000007289929,0.01008761,0.4591621,0.00004499667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6358738,0.0003050701,0.009857429,0.3432874,0.004419532,0.0008744356,0.0004413054,0.00002772171,0.00491328],"genre_scores_gemma":[0.9949693,0.0000144262,0.0002440016,0.003783097,0.0007147872,0.00000162289,0.0002682812,0.000002340085,0.000002126603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7103702,"threshold_uncertainty_score":0.7116334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2538097090373604,"score_gpt":0.4425573073661793,"score_spread":0.1887475983288189,"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."}}