{"id":"W2889311872","doi":"10.1186/s12913-018-3474-2","title":"Exploring role clarity in interorganizational spread and scale-up initiatives: the ‘INSPIRED’ COPD collaborative","year":2018,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University; Canadian Foundation for Healthcare Improvement; London Health Sciences Centre; Western University","funders":"Canadian Foundation for Healthcare Improvement","keywords":"CLARITY; Conceptualization; Negotiation; Health administration; Health care; Health informatics; Nursing research; Process (computing); Medicine; Knowledge management; Public relations; Nursing; Public health; Sociology; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003870128,0.0001539674,0.0002431897,0.0003550499,0.002637401,0.00006306382,0.0003605632,0.0001522214,0.0005560074],"category_scores_gemma":[0.0002360099,0.0001157911,0.00001496488,0.002364248,0.0002829357,0.0007596879,0.0003607688,0.001153941,0.0004721665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005430141,"about_ca_system_score_gemma":0.005567288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187847,"about_ca_topic_score_gemma":0.04014736,"domain_scores_codex":[0.9933786,0.004098298,0.0006805895,0.0004202572,0.0006986959,0.0007235783],"domain_scores_gemma":[0.9953032,0.001374654,0.0002123216,0.000331058,0.002534309,0.000244418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007931654,0.0001830231,0.5266191,0.001129573,0.00001397328,5.846061e-7,0.4501945,0.000001946319,0.0002072138,0.017889,0.001209471,0.001758396],"study_design_scores_gemma":[0.0006049247,0.0001731811,0.66729,0.00091316,0.00000127586,4.770645e-7,0.3184424,0.0009508783,0.00008247654,0.0009607408,0.01048907,0.00009137197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830617,0.0004247146,0.00008454772,0.007173643,0.00111818,0.001926882,0.00005616201,0.00004994463,0.006104284],"genre_scores_gemma":[0.9913886,0.0003283982,0.0004625767,0.005371735,0.0007173611,0.0008605083,0.00007056523,0.00002825953,0.0007720044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1406709,"threshold_uncertainty_score":0.998661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564852870570861,"score_gpt":0.5208453843630976,"score_spread":0.3643600973060115,"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."}}