{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006849745,0.0002731412,0.0003681573,0.0001454294,0.0009259536,0.001447387,0.004970483,0.0001196225,0.00004231806],"category_scores_gemma":[0.0001117714,0.0001952244,0.00002864363,0.001898772,0.0003328209,0.001511076,0.004978898,0.000162463,0.00008951978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003320679,"about_ca_system_score_gemma":0.0001374244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008833923,"about_ca_topic_score_gemma":0.0001018467,"domain_scores_codex":[0.998014,0.0001522842,0.0004102472,0.0006444765,0.0003564492,0.000422512],"domain_scores_gemma":[0.9979669,0.0001645557,0.0002441659,0.001283258,0.000275943,0.00006519236],"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":[0.0009031575,0.0008260745,0.08940705,0.00031577,0.0003906226,0.0005838284,0.03196646,0.002974293,0.003235961,0.1687578,0.4193562,0.2812828],"study_design_scores_gemma":[0.0008041965,0.00004288091,0.07333557,0.00005260961,0.00001051517,0.0005463209,0.0005769706,0.001854349,0.0002040944,0.0009450421,0.9212363,0.0003911604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4777882,0.0009809703,0.4319264,0.02692634,0.0005486318,0.002965579,0.000007737177,0.0007940659,0.05806202],"genre_scores_gemma":[0.9051521,0.0001295863,0.02235284,0.008338383,0.00031504,0.0001803824,0.00002693063,0.00008447,0.06342028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5018801,"threshold_uncertainty_score":0.9995892,"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."}}