{"id":"W3084790339","doi":"10.1007/978-3-030-58219-7_7","title":"Argument Retrieval from Web","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institute of Steel Construction","keywords":"Argumentative; Computer science; Information retrieval; PageRank; Search engine; Relevance (law); Argument (complex analysis); Task (project management); World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006248974,0.0007708163,0.0009644286,0.003858394,0.000675072,0.002839718,0.000903892,0.00119923,0.03464388],"category_scores_gemma":[0.005875613,0.0004007474,0.0008128816,0.002973726,0.0003778145,0.004886667,0.001762948,0.001183072,0.0216413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006204598,"about_ca_system_score_gemma":0.0005784836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008060153,"about_ca_topic_score_gemma":0.001600525,"domain_scores_codex":[0.999255,0.0002196844,0.00004702774,0.000121871,0.0002970964,0.00005923325],"domain_scores_gemma":[0.99867,0.0008262376,0.00005069949,0.0002315392,0.0001808597,0.00004065614],"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":[0.0004548163,0.0002727617,0.0007465722,0.0008686462,0.0001056275,0.0004131733,0.0003764674,0.005466902,0.01585607,0.03750746,0.1372912,0.8006402],"study_design_scores_gemma":[0.000183413,0.0002648587,0.003461478,0.0005375429,0.0003155443,0.001537732,0.0009872469,0.3124686,0.04676877,0.2291364,0.4042229,0.000115428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09794331,0.01633119,0.6221437,0.004416241,0.001312442,0.0007130799,0.01704582,0.02769219,0.212402],"genre_scores_gemma":[0.4539364,0.007696943,0.3523134,0.0009484292,0.00103472,0.0004150993,0.04964173,0.002996873,0.1310164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03464388,"threshold_uncertainty_score":0.1158953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306873361518231,"score_gpt":0.2370536448138783,"score_spread":0.213984911198696,"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."}}