{"id":"W107420667","doi":"","title":"TIM Series: Open APIs, Mashups and User Innovation","year":2008,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mashup; Series (stratigraphy); Computer science; World Wide Web; Biology; Web service; Web 2.0; Paleontology","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":[0.006050481,0.001831739,0.001389192,0.005743389,0.001922066,0.007367875,0.003050129,0.002693716,0.1022086],"category_scores_gemma":[0.009182398,0.0009647415,0.0009258642,0.007704067,0.001347738,0.01471827,0.003556066,0.00449948,0.03399341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002551819,"about_ca_system_score_gemma":0.002683649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002494332,"about_ca_topic_score_gemma":0.004536457,"domain_scores_codex":[0.9966884,0.0005533005,0.0001535727,0.0004133126,0.001751878,0.0004394939],"domain_scores_gemma":[0.9932181,0.002261556,0.0003436154,0.001238316,0.001363419,0.001575047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001523607,0.0001532147,0.0002294311,0.0002832416,0.0000193533,0.0001038489,0.0002921158,0.000697271,0.002068529,0.05420132,0.7468072,0.1949922],"study_design_scores_gemma":[0.00004065752,0.0001004341,0.0006949409,0.0001302251,0.0000254486,0.0003125478,0.0002378246,0.006312312,0.005273415,0.03229558,0.9545253,0.00005135594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01179817,0.02201759,0.4272931,0.03915837,0.0621136,0.0006407879,0.01331768,0.04082999,0.3828307],"genre_scores_gemma":[0.04162339,0.01798395,0.08342181,0.003162288,0.0373973,0.0007436733,0.02724619,0.01740684,0.7710145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1022086,"threshold_uncertainty_score":0.3419219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033375406880308,"score_gpt":0.2616445958860088,"score_spread":0.2213108418172057,"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."}}