{"id":"W4390809792","doi":"","title":"Ambidextrous leadership in innovation processes in Canadian hospital settings","year":2017,"lang":"en","type":"book","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Organizational Change and Leadership","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Knowledge management; Management; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002471349,0.0003440611,0.0002708317,0.001641162,0.006701521,0.006091569,0.00130531,0.0008176581,0.008045756],"category_scores_gemma":[0.006259373,0.0001660971,0.0003046929,0.003168115,0.004522984,0.0009453605,0.002152293,0.001864912,0.0004189117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0736792,"about_ca_system_score_gemma":0.1150255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8671304,"about_ca_topic_score_gemma":0.9681141,"domain_scores_codex":[0.9960141,0.0006707407,0.00007002241,0.0001472768,0.001226276,0.001871567],"domain_scores_gemma":[0.9936758,0.0008394755,0.0003891612,0.00005385539,0.001346206,0.003695498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003017939,0.0004241214,0.06346813,0.001106257,0.0000500646,0.002514916,0.1822729,0.001375646,0.0009695762,0.08989876,0.1827433,0.4748746],"study_design_scores_gemma":[0.00008448868,0.0002558423,0.4053116,0.001805363,0.00003304746,0.001034067,0.2206969,0.0009167797,0.0004718296,0.01542418,0.353807,0.0001588234],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.498407,0.06097884,0.002383355,0.05291034,0.002091575,0.000326655,0.0003720584,0.0001013288,0.3824289],"genre_scores_gemma":[0.9515747,0.01110179,0.0006651239,0.001310135,0.000118754,0.00004081391,0.0001101959,0.00002290728,0.03505547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1328696,"threshold_uncertainty_score":0.5345825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199800691730575,"score_gpt":0.2127083407008271,"score_spread":0.1707103337835213,"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."}}