{"id":"W2127466325","doi":"","title":"York University at TREC 2005: Genomics Track","year":2005,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Sentence; Index (typography); Word (group theory); Information retrieval; Natural language processing; Focus (optics); Artificial intelligence; Query expansion; World Wide Web; Mathematics","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":[0.0157817,0.002505711,0.002409621,0.004645545,0.002917543,0.003812072,0.002885672,0.002373628,0.03191702],"category_scores_gemma":[0.02191013,0.0009214613,0.0008550508,0.00478512,0.00107278,0.004999129,0.001305622,0.003528578,0.02246192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007853214,"about_ca_system_score_gemma":0.007022365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1493219,"about_ca_topic_score_gemma":0.1638799,"domain_scores_codex":[0.9926071,0.002506024,0.0005003418,0.000998739,0.002934876,0.0004529115],"domain_scores_gemma":[0.9788082,0.005965668,0.00088416,0.002983164,0.009511936,0.001847027],"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":[0.0003079445,0.0003760536,0.0007689281,0.0003373153,0.00006881071,0.00003298106,0.00007907688,0.001603877,0.002829631,0.001041575,0.9664654,0.02608853],"study_design_scores_gemma":[0.002505684,0.001974083,0.03065776,0.0002879857,0.0003734762,0.0002919985,0.0004754021,0.05201166,0.02966511,0.005404799,0.8758979,0.0004541877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1057353,0.01557687,0.04244298,0.02686543,0.007066322,0.008518317,0.5688568,0.06652702,0.158411],"genre_scores_gemma":[0.05780124,0.002275515,0.04547472,0.003554737,0.0006194028,0.00312752,0.8036622,0.002406277,0.08107834],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1493219,"threshold_uncertainty_score":0.2969055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196118273237576,"score_gpt":0.2170783683254816,"score_spread":0.1951171855931058,"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."}}