{"id":"W1763236706","doi":"10.1111/j.1467-9310.2009.00582.x","title":"Modeling the mashup ecosystem: structure and growth","year":2009,"lang":"en","type":"article","venue":"R and D Management","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Scuola Superiore Sant'Anna","keywords":"Mashup; Computer science; World Wide Web; Ecosystem; Web service; Ecology; Biology; Web 2.0","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":[0.002694246,0.0009730226,0.0006543626,0.002497407,0.001410858,0.005183471,0.002175736,0.002824305,0.003411632],"category_scores_gemma":[0.01450683,0.001065626,0.001159726,0.002835699,0.002635483,0.01015922,0.003357933,0.002202077,0.0008842908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003385298,"about_ca_system_score_gemma":0.001654056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172198,"about_ca_topic_score_gemma":0.01307984,"domain_scores_codex":[0.9987071,0.0004292704,0.0000704608,0.0003407629,0.0002030367,0.0002493789],"domain_scores_gemma":[0.9903324,0.005960586,0.001651708,0.0007162523,0.0006338156,0.0007051926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001242333,0.0002243947,0.02732122,0.000160866,0.00007834218,0.000606791,0.001535784,0.7379064,0.002332056,0.2122372,0.002138996,0.01533369],"study_design_scores_gemma":[0.00001401047,0.00001909693,0.001100161,0.00001869835,0.00001186989,0.0000639432,0.0002251266,0.9389377,0.0002206681,0.05699971,0.002372378,0.00001665603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5709865,0.001871299,0.3731976,0.006367031,0.0001220798,0.0003871052,0.002185746,0.00105147,0.04383117],"genre_scores_gemma":[0.9120536,0.001245507,0.07733382,0.0002206741,0.0001078254,0.0004474914,0.0007047874,0.0002112872,0.007674946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02172198,"threshold_uncertainty_score":0.04319113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170106324120844,"score_gpt":0.1998903215346541,"score_spread":0.1881892582934456,"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."}}