{"id":"W1940149869","doi":"10.1007/s11576-009-0182-x","title":"Optimierte Softwarelizenzierung – Kombinierte Lizenztypen im Lizenzportfolio","year":2009,"lang":"de","type":"article","venue":"WIRTSCHAFTSINFORMATIK","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Victorian Order of Nurses","funders":"","keywords":"Gynecology; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.004264993,0.001710614,0.001422726,0.002649896,0.001288424,0.007387959,0.001757428,0.002159987,0.01678738],"category_scores_gemma":[0.01522417,0.001379497,0.00181416,0.002264704,0.001842035,0.01028802,0.004819802,0.004504029,0.004998908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419117,"about_ca_system_score_gemma":0.001440979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349423,"about_ca_topic_score_gemma":0.001084857,"domain_scores_codex":[0.9947785,0.001422378,0.0004397864,0.0007778662,0.00202895,0.0005525189],"domain_scores_gemma":[0.9941078,0.002054327,0.0003466335,0.002146827,0.001158656,0.0001857787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002831324,0.0009065062,0.004418951,0.0005586757,0.0002727883,0.0003729359,0.0009624637,0.263449,0.04056436,0.1796283,0.008224349,0.4978103],"study_design_scores_gemma":[0.0001965197,0.000247658,0.0008607081,0.0001023408,0.0001184636,0.0002419912,0.0002037453,0.7588457,0.05500112,0.1704926,0.01356529,0.0001238137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1254639,0.0007744137,0.8313039,0.0008489711,0.0002476972,0.0003749703,0.0005793653,0.008629403,0.03177734],"genre_scores_gemma":[0.6893464,0.0004858237,0.2906555,0.0002124647,0.00006892056,0.0005800968,0.001076949,0.002084641,0.01548929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01678738,"threshold_uncertainty_score":0.05615938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038098935738571,"score_gpt":0.198742014557801,"score_spread":0.1883610252004153,"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."}}