{"id":"W4237613759","doi":"10.22215/timreview1061","title":"Orchestrating Innovation Ecosystems: A Qualitative Analysis of Ecosystem Positioning Strategies","year":2017,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ecosystem; Qualitative analysis; Environmental resource management; Business; Computer science; Qualitative research; Environmental science; Ecology; Sociology; Biology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008762186,0.0001617846,0.000318649,0.001629884,0.001353445,0.00473268,0.0009546143,0.0008695269,0.003305444],"category_scores_gemma":[0.02408965,0.0001584108,0.0003237589,0.002070532,0.002339344,0.003449443,0.001398477,0.0005734838,0.0002107474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006367684,"about_ca_system_score_gemma":0.006944929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006603696,"about_ca_topic_score_gemma":0.01407718,"domain_scores_codex":[0.9948718,0.003273659,0.0001402687,0.0001975473,0.001189909,0.0003268046],"domain_scores_gemma":[0.9805504,0.01567096,0.001012609,0.0004686982,0.002054131,0.0002431032],"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":[0.0001954293,0.000115674,0.02076803,0.002881194,0.0001534732,0.0006113565,0.0883671,0.01076984,0.006420936,0.6977043,0.008397168,0.1636155],"study_design_scores_gemma":[0.0001042601,0.0003665679,0.04017752,0.002867273,0.0002508645,0.0007073945,0.3315531,0.03656273,0.01014194,0.3547648,0.2223444,0.000159034],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7323104,0.005212162,0.1049139,0.01570064,0.00017505,0.0009652838,0.001142617,0.00006258515,0.1395174],"genre_scores_gemma":[0.9835517,0.001416028,0.01160214,0.0003369228,0.000008736962,0.0002398443,0.00009324004,0.00001575822,0.002735481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008762186,"threshold_uncertainty_score":0.04633939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2293123888884321,"score_gpt":0.5083790574528416,"score_spread":0.2790666685644095,"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."}}