{"id":"W4241998759","doi":"10.1007/978-1-4939-7131-2_100183","title":"Component-Based Web Applications","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Component (thermodynamics); Computer science; World Wide Web; Physics","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":[0.0002429352,0.00118177,0.0004676536,0.0007893404,0.0003688557,0.001925089,0.001394426,0.0006603373,0.02031645],"category_scores_gemma":[0.0008622219,0.000568693,0.0004720625,0.002163501,0.0002393162,0.002153706,0.0009949869,0.001661131,0.01449747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004283277,"about_ca_system_score_gemma":0.0004217511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007476574,"about_ca_topic_score_gemma":0.0009435226,"domain_scores_codex":[0.9997451,0.0000309517,0.00001314102,0.00005139271,0.0001357699,0.00002371074],"domain_scores_gemma":[0.9997447,0.00008235069,0.000008366735,0.00006776089,0.0000735208,0.00002333421],"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":[0.00008420237,0.0001578051,0.0001760983,0.0006714001,0.00005402432,0.0001317872,0.000162668,0.01333496,0.01628318,0.09414165,0.09464233,0.78016],"study_design_scores_gemma":[0.000026364,0.00005123072,0.0007278823,0.000237025,0.00006064885,0.0004655657,0.00006376971,0.07282981,0.01536243,0.09077298,0.819367,0.00003533004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008196094,0.01742101,0.70131,0.0007688416,0.001649837,0.0001735345,0.0004115403,0.01318591,0.2568832],"genre_scores_gemma":[0.1165232,0.03002506,0.3394864,0.0007165475,0.001034911,0.0002957465,0.002844271,0.005456363,0.5036175],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02031645,"threshold_uncertainty_score":0.06796533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157560785690598,"score_gpt":0.2374900181623289,"score_spread":0.2159144103054229,"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."}}