{"id":"W2030062908","doi":"10.1007/s00038-006-5071-0","title":"Structuring an Inter-sector Research Partnership: A Negotiated Zone","year":2006,"lang":"de","type":"article","venue":"Sozial- und Präventivmedizin","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Foundation for Healthcare Improvement; University of Calgary; Université de Montréal","funders":"Canadian Institutes of Health Research; Public Health Agency; Canadian Health Services Research Foundation","keywords":"General partnership; Negotiation; Structuring; Autonomy; Process (computing); Public relations; Politics; Political science; Sociology; Law; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.203947,0.0009750127,0.001358569,0.00410765,0.02710687,0.02795214,0.006634479,0.01177291,0.007575957],"category_scores_gemma":[0.1746345,0.001941267,0.002020147,0.003415524,0.03214926,0.03356599,0.04086621,0.01139009,0.002000511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01296,"about_ca_system_score_gemma":0.04504776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979284,"about_ca_topic_score_gemma":0.001787092,"domain_scores_codex":[0.7774892,0.1818295,0.008057925,0.007269409,0.01523336,0.01012061],"domain_scores_gemma":[0.7896473,0.1371704,0.01517308,0.01452616,0.01744656,0.02603635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002113839,0.0004725914,0.006102063,0.0009040567,0.0001653409,0.005415559,0.2394108,0.002705761,0.003521983,0.6789953,0.004813204,0.05728206],"study_design_scores_gemma":[0.0002108354,0.0004556108,0.002820025,0.001757005,0.00006533313,0.00223835,0.345843,0.004481071,0.001468903,0.5002483,0.1401654,0.0002462195],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1764891,0.004935411,0.6130781,0.1056048,0.001047512,0.009994837,0.0001725847,0.0004752551,0.0882025],"genre_scores_gemma":[0.8322939,0.0009303233,0.1544396,0.00199944,0.0001356666,0.003034915,0.0001038802,0.00008194449,0.00698039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.203947,"threshold_uncertainty_score":0.981675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6882406631583162,"score_gpt":0.685091148785271,"score_spread":0.003149514373045226,"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."}}