{"id":"W1503388406","doi":"","title":"PLUG-INS AND E-JOURNALS: HOW BROWSER EXTENSIONS TRANSFORM ELECTRONIC JOURNAL CONTENT AND ACCESS","year":2010,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Plug-in; Computer science; ASCII; World Wide Web; Reading (process); Download; Multimedia; File format; Database","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004677323,0.00111177,0.0004620207,0.001482073,0.0009660666,0.006172001,0.002367623,0.002341277,0.01176238],"category_scores_gemma":[0.02404397,0.001521427,0.0008149648,0.00118927,0.001531048,0.01095389,0.005055487,0.002944425,0.006694116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007038222,"about_ca_system_score_gemma":0.001060275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003538382,"about_ca_topic_score_gemma":0.006794909,"domain_scores_codex":[0.9978151,0.0007435593,0.0002249604,0.0003984015,0.0006698562,0.0001481523],"domain_scores_gemma":[0.9862053,0.007104233,0.0003436752,0.004227578,0.00105807,0.001061201],"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":[0.001444365,0.001293158,0.01370935,0.0009924078,0.0002793782,0.002032193,0.01069521,0.004510089,0.05708469,0.0723863,0.2464941,0.5890787],"study_design_scores_gemma":[0.0003676974,0.0002760703,0.006410901,0.0006129068,0.0002510448,0.001455822,0.001916531,0.0628095,0.06053465,0.0529353,0.8119333,0.0004962058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05380465,0.001171229,0.5350739,0.00304229,0.001380056,0.0007622914,0.001956082,0.364014,0.03879561],"genre_scores_gemma":[0.2400879,0.001953214,0.6255002,0.003797557,0.0005451886,0.0006831359,0.004780109,0.06304302,0.05960967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.993828,"threshold_uncertainty_score":0.03934908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0388743549747787,"score_gpt":0.2478487069961634,"score_spread":0.2089743520213847,"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."}}