{"id":"W2096780831","doi":"10.11575/prism/30667","title":"CONTRASTING STACK-BASED AND RECENCY-BASED BACK BUTTONS ON WEB BROWSERS","year":2000,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stack (abstract data type); Computer science; World Wide Web; Information retrieval; Web page; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007993184,0.0006649544,0.000540381,0.001470269,0.0007297363,0.003372276,0.000760866,0.001361668,0.00162312],"category_scores_gemma":[0.05138573,0.0007186592,0.0006404073,0.0006752325,0.001567188,0.005558158,0.001889079,0.00126719,0.0004537284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108537,"about_ca_system_score_gemma":0.0005739995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00791624,"about_ca_topic_score_gemma":0.013019,"domain_scores_codex":[0.9942057,0.00307586,0.0004112795,0.000525506,0.001401801,0.000379864],"domain_scores_gemma":[0.9555728,0.03329454,0.003054463,0.003494211,0.003586587,0.0009973346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01497393,0.002312672,0.3442191,0.001636743,0.0007286054,0.001099716,0.1080864,0.009721329,0.0876278,0.01977315,0.004661801,0.4051588],"study_design_scores_gemma":[0.001250077,0.007696465,0.7331801,0.001174714,0.001932736,0.001917297,0.04475712,0.09136238,0.06282222,0.02432293,0.02834926,0.001234824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844368,0.0003599419,0.008033182,0.000205218,0.00002027741,0.00009220493,0.0000659801,0.0002678856,0.006518542],"genre_scores_gemma":[0.9876348,0.0002265564,0.01013448,0.0001868636,0.00002296382,0.00007254773,0.00009730212,0.0001444425,0.001480101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007993184,"threshold_uncertainty_score":0.04227245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075097874057818,"score_gpt":0.1855882193692906,"score_spread":0.1748372406287124,"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."}}