{"id":"W4389308105","doi":"10.1080/13662716.2023.2288092","title":"Helping start-ups and public organisations to align: Co-producing the co-creation context in a public hospital","year":2023,"lang":"en","type":"article","venue":"Industry and Innovation","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Fonds de Recherche du Québec - Santé; Fonds de Recherche du Québec-Société et Culture","keywords":"Context (archaeology); Co-creation; Stakeholder; Production (economics); Public relations; Process (computing); Business; Sociology; Political science; Marketing; Economics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01159586,0.000426783,0.000339783,0.001460526,0.01896151,0.01295545,0.001879389,0.002427262,0.004754514],"category_scores_gemma":[0.02113033,0.0006334851,0.0004447881,0.001391034,0.01535915,0.008507538,0.02206578,0.003329391,0.00122611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007509849,"about_ca_system_score_gemma":0.01078188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002803833,"about_ca_topic_score_gemma":0.008419101,"domain_scores_codex":[0.9766772,0.01827232,0.0003926098,0.0007579211,0.001199405,0.002700517],"domain_scores_gemma":[0.9741566,0.01182508,0.00333036,0.002203882,0.001201477,0.007282712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002465355,0.0006431732,0.02699333,0.0002635533,0.00003700635,0.005465935,0.8463805,0.0008167931,0.002145158,0.03377128,0.006602253,0.0766344],"study_design_scores_gemma":[0.00002593089,0.0002990931,0.007561642,0.000270533,0.00002816202,0.001522195,0.895101,0.0008944343,0.001226332,0.01149293,0.08149619,0.00008157155],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349185,0.0009668443,0.01447748,0.01336763,0.0002226666,0.0002297773,0.00002738213,0.0001771303,0.03561258],"genre_scores_gemma":[0.9937215,0.0001919482,0.002698925,0.0002359074,0.00003462111,0.00004240253,0.00001174842,0.0000300307,0.003033089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9810385,"threshold_uncertainty_score":0.06132549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06676804642075619,"score_gpt":0.2941791371654849,"score_spread":0.2274110907447288,"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."}}