{"id":"W2401695734","doi":"","title":"Multi/Touch/Device MindMapper : Digitalisierung von Kreativprozessen. Natural User Interfaces für kollaborative Mehrbenutzer Software am Beispiel einer Mind-Mapping-Anwendung","year":2013,"lang":"de","type":"article","venue":"Ingénierie des systèmes d information","topic":"Digital Innovation in Industries","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Human–computer interaction; User interface; Humanities; Art; Operating system","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":[0.001174277,0.0008186536,0.0003104175,0.0006440728,0.0003039568,0.00184934,0.0007658971,0.001121581,0.01524381],"category_scores_gemma":[0.003660638,0.0003514736,0.0004820495,0.0005310767,0.0007420704,0.002455455,0.001973475,0.0007538451,0.002753302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002695033,"about_ca_system_score_gemma":0.0002844992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003882243,"about_ca_topic_score_gemma":0.0005487197,"domain_scores_codex":[0.9993057,0.0002874561,0.00004837734,0.0001257736,0.000198409,0.0000341844],"domain_scores_gemma":[0.9983554,0.001078301,0.00007231809,0.0002591019,0.0001447551,0.0000900397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008375939,0.0002518333,0.001978917,0.0026804,0.00007867938,0.0008690722,0.007218827,0.001867505,0.1700651,0.0214005,0.01480452,0.7779471],"study_design_scores_gemma":[0.0004304155,0.002290935,0.03189258,0.001584761,0.0003534752,0.007708967,0.005694876,0.06664326,0.1972696,0.05898777,0.6267245,0.0004189476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08035666,0.002699942,0.8640344,0.0009073374,0.0002299124,0.0008972717,0.0009707193,0.01725156,0.03265226],"genre_scores_gemma":[0.3837178,0.001717734,0.5859553,0.0007122348,0.00005872296,0.0009609367,0.0006105825,0.0009523131,0.02531435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01524381,"threshold_uncertainty_score":0.05099559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057302501087667,"score_gpt":0.2450423618340962,"score_spread":0.2244693368232196,"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."}}