{"id":"W99633038","doi":"10.3233/978-1-60750-643-0-3","title":"Towards Language-Competent Web Search","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"World Wide Web; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002672426,0.0002513317,0.0002849936,0.0003782146,0.0001538823,0.0002199504,0.001126612,0.000352032,0.00004113228],"category_scores_gemma":[0.00001612188,0.0002443305,0.00007130114,0.0001752026,0.000257792,0.0001689059,0.000330211,0.0009146896,0.00006189927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006383722,"about_ca_system_score_gemma":0.0001563451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003628462,"about_ca_topic_score_gemma":0.00006795056,"domain_scores_codex":[0.9984428,0.00001359831,0.0003881893,0.0006175021,0.0002683444,0.0002695358],"domain_scores_gemma":[0.9989699,0.00003459863,0.0001117054,0.0006771367,0.0001008909,0.0001058269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001765673,0.00001374312,0.00000258765,0.00001633155,0.000005109829,0.000006194996,0.0002200285,0.000001153775,0.0004759684,0.5202138,0.0001778884,0.4788654],"study_design_scores_gemma":[0.00001285418,0.00002649537,0.000001347245,0.000080739,0.00001076546,0.00001077547,0.0001046301,0.004565123,0.02053814,0.9217026,0.0525673,0.0003792453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000011121,0.005053044,0.9658597,0.0007990148,0.0002569101,0.0005662057,0.00002204462,0.0002749473,0.02715703],"genre_scores_gemma":[0.008124338,0.000963794,0.9692101,0.0002909271,0.0004120411,0.0002294805,0.0000373643,0.00004593433,0.02068597],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4784862,"threshold_uncertainty_score":0.9963509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770905852442436,"score_gpt":0.2960978186353729,"score_spread":0.2683887601109486,"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."}}