{"id":"W2064224510","doi":"10.1145/2422256.2422269","title":"Open source information retrieval","year":2012,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Open source; Information retrieval; World Wide Web; Library science; Data science; Software","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":[0.011081,0.001475962,0.001710481,0.01790104,0.003566262,0.01389091,0.003100845,0.003674598,0.1400916],"category_scores_gemma":[0.05673837,0.001027355,0.00157376,0.01290043,0.001835026,0.01804351,0.0112775,0.00448328,0.1316085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968773,"about_ca_system_score_gemma":0.004803143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893934,"about_ca_topic_score_gemma":0.005425863,"domain_scores_codex":[0.9845829,0.002774743,0.001256581,0.001773388,0.008358213,0.001254151],"domain_scores_gemma":[0.9635176,0.006646232,0.001336854,0.0104398,0.01497398,0.003085497],"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":[0.0001826206,0.0001143209,0.0005028386,0.0007527223,0.00004719748,0.0002032128,0.0003822552,0.0002509511,0.002672236,0.02203037,0.6311412,0.3417201],"study_design_scores_gemma":[0.0000190268,0.00003275627,0.0004477848,0.000188063,0.00001170534,0.0001880725,0.0001335328,0.0005571283,0.001559967,0.0104549,0.9863686,0.0000385338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.009697001,0.04667216,0.2298693,0.04410371,0.03767788,0.002990822,0.06292325,0.05389088,0.5121751],"genre_scores_gemma":[0.04526415,0.01996594,0.1102884,0.01022307,0.01129998,0.001275332,0.1339994,0.01478523,0.6528986],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1400916,"threshold_uncertainty_score":0.468653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149873200924726,"score_gpt":0.2690667972065012,"score_spread":0.247568065197254,"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."}}