{"id":"W569220443","doi":"","title":"AIRWeb 2007 : proceedings of the 3rd International Workshop on Adversarial Information Retrieval on the Web, May 8, 2007, Banff, Alberta, Canada","year":2007,"lang":"en","type":"book","venue":"Association for Computing Machinery eBooks","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Information retrieval; World Wide Web; Computer science; History; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002553232,0.0011316,0.002133156,0.0008822629,0.0007383093,0.002702854,0.001752793,0.001071412,0.02696569],"category_scores_gemma":[0.003492701,0.0004563394,0.0005544384,0.0009515981,0.0008417664,0.002851641,0.001408723,0.002005201,0.009634048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334098,"about_ca_system_score_gemma":0.002034646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0187408,"about_ca_topic_score_gemma":0.03993272,"domain_scores_codex":[0.9991468,0.0002358719,0.0000352038,0.0001064916,0.0003507948,0.0001248069],"domain_scores_gemma":[0.9981975,0.0007519584,0.00002851642,0.0002882815,0.0005804767,0.0001532156],"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":[0.0002286522,0.0002064956,0.0003787177,0.0001964921,0.00006832249,0.00008259062,0.00009501048,0.01157005,0.002364236,0.01344461,0.6435946,0.3277703],"study_design_scores_gemma":[0.000112514,0.0001910033,0.002833992,0.0002828781,0.0001270349,0.0004462562,0.0003338819,0.3337409,0.01226371,0.08120269,0.568378,0.00008717892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01501226,0.03348672,0.8369805,0.01416097,0.01323445,0.0006656245,0.005084101,0.008565862,0.07280947],"genre_scores_gemma":[0.1415759,0.04034819,0.3249525,0.004554986,0.005754735,0.0005397415,0.02586477,0.002855403,0.4535537],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9812592,"threshold_uncertainty_score":0.09020919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008542198134156664,"score_gpt":0.218037418495747,"score_spread":0.2094952203615904,"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."}}