{"id":"W1556161798","doi":"","title":"Generating custom notification histories by tracking visual differences between web page visits","year":2006,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bitmap; Computer science; Timestamp; Web page; World Wide Web; Representation (politics); Clipping (morphology); Information retrieval; Computer graphics (images)","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":[0.002646586,0.001119454,0.0008569546,0.002528507,0.0005284381,0.001908469,0.001468933,0.0008144869,0.004580073],"category_scores_gemma":[0.01510933,0.0007106907,0.0005428231,0.001229667,0.0003404621,0.002270333,0.001793266,0.0007641452,0.001714203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004964882,"about_ca_system_score_gemma":0.0008138565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941084,"about_ca_topic_score_gemma":0.004367529,"domain_scores_codex":[0.998358,0.0003517988,0.0001380597,0.0005009596,0.0005709496,0.00008026369],"domain_scores_gemma":[0.9892412,0.00428321,0.001109282,0.00307794,0.001473282,0.0008150665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001735694,0.0006298786,0.02380661,0.0004825345,0.0001217737,0.0007478818,0.003519663,0.00872521,0.03787574,0.003664579,0.01680896,0.9018816],"study_design_scores_gemma":[0.0004731893,0.00121102,0.05444704,0.0002681811,0.0005012252,0.002132819,0.001785501,0.5444372,0.2095722,0.01540943,0.169115,0.0006473145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1027654,0.0003175912,0.821897,0.0002218186,0.000244375,0.000759257,0.001780772,0.0649157,0.007098089],"genre_scores_gemma":[0.4239716,0.0003083549,0.5570275,0.0001646199,0.0002066244,0.0005629443,0.003943523,0.003940788,0.009874017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004580073,"threshold_uncertainty_score":0.01532191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394855221400154,"score_gpt":0.2683310921924639,"score_spread":0.2443825399784623,"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."}}