{"id":"W2205191868","doi":"10.1007/1-4020-4014-8_2","title":"Interactive Information Retrieval: Bringing the User to a Selection State","year":2006,"lang":"en","type":"book-chapter","venue":"˜The œinformation retrieval series","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Selection (genetic algorithm); Computer science; Information retrieval; State (computer science); Artificial intelligence; Programming language","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001446201,0.0006757211,0.0004736269,0.0008122515,0.001257155,0.003015418,0.001786649,0.0003567259,0.0001778868],"category_scores_gemma":[0.0001684659,0.000459339,0.0003129541,0.000999717,0.0001920494,0.01620575,0.0007634595,0.001271499,0.002718145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006788553,"about_ca_system_score_gemma":0.0004420708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001256852,"about_ca_topic_score_gemma":0.00005128465,"domain_scores_codex":[0.9951717,0.00008677744,0.001698655,0.00029339,0.002031716,0.0007177143],"domain_scores_gemma":[0.9955216,0.0002437677,0.001299534,0.0009598192,0.001763969,0.0002112829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005097291,0.0000867714,0.00008266231,0.0008384488,0.000735763,0.00001860536,0.06684436,0.01423229,0.0001958428,0.4481055,0.2619467,0.2018157],"study_design_scores_gemma":[0.0004253461,0.0003173922,0.0006484319,0.000124977,0.00004644137,0.0001103596,0.000280255,0.01057557,0.001179257,0.00206243,0.9835181,0.0007114648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001666671,0.00008268466,0.5876932,0.00742594,0.003696585,0.006251448,0.0004638106,0.0017393,0.3909803],"genre_scores_gemma":[0.1006797,0.0003708602,0.005212381,0.01713818,0.001200623,0.0001976396,0.00205928,0.0002097693,0.8729316],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7215713,"threshold_uncertainty_score":0.9997858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000033106026931,"score_gpt":0.2284901663914527,"score_spread":0.2184898353311834,"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."}}