{"id":"W2085995514","doi":"10.1145/772862.772888","title":"WEBKDD 2002","year":2002,"lang":"en","type":"article","venue":"ACM SIGKDD Explorations Newsletter","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Conjunction (astronomy); Theme (computing); Knowledge extraction; Data science; Web mining; Data mining; Information retrieval; World Wide Web; Web service","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009465607,0.0001505933,0.0001189137,0.0001215448,0.0003057473,0.0003658219,0.001617141,0.00005447474,0.0007991404],"category_scores_gemma":[0.00009062627,0.0001446471,0.00005844124,0.0006305951,0.00004911833,0.001512245,0.000381909,0.000152786,0.009211446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002449341,"about_ca_system_score_gemma":0.00001138933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000108312,"about_ca_topic_score_gemma":0.000006044756,"domain_scores_codex":[0.9987568,0.00003602663,0.0002511246,0.0004347814,0.0002260598,0.0002952624],"domain_scores_gemma":[0.9977036,0.0001094073,0.00006701175,0.001946212,0.0000668754,0.0001068808],"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":[1.868557e-7,0.00008768721,0.00003695604,0.000001690308,0.00001032779,0.000006700977,0.000670363,0.00002796179,0.0008553639,0.01512966,0.92101,0.06216308],"study_design_scores_gemma":[0.0002687613,0.00003955209,0.0002452775,0.00000933591,0.000009227774,0.00002029936,0.00004427474,0.07408132,0.001107783,0.002997768,0.9208354,0.0003410088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001291348,0.0001632901,0.8694026,0.1176638,0.0003627053,0.0002279175,0.00002049369,0.0005433065,0.01032452],"genre_scores_gemma":[0.06436531,0.0001276969,0.8908682,0.0266546,0.0009823841,0.0006612905,0.00006880781,0.00005019302,0.01622154],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09100924,"threshold_uncertainty_score":0.99156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06108137065648202,"score_gpt":0.2461904553370433,"score_spread":0.1851090846805613,"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."}}