{"id":"W1549888634","doi":"10.1108/07378831111138170","title":"Next generation or current generation?","year":2011,"lang":"en","type":"article","venue":"Library Hi Tech","topic":"Web and Library Services","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); World Wide Web; Public access; Population; Checklist; Library catalog; Computer science; Library science; Interface (matter); Sociology; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004651433,0.0001412379,0.000107943,0.0001117864,0.0001341266,0.0003747906,0.0009885392,0.00006084576,0.001009746],"category_scores_gemma":[0.000002600159,0.0001091817,0.0000443441,0.0004627644,0.00001680955,0.008749705,0.000317261,0.0001092885,0.0002540801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004260562,"about_ca_system_score_gemma":0.0001036309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007590227,"about_ca_topic_score_gemma":0.000003336933,"domain_scores_codex":[0.9989792,0.0000579947,0.0002162718,0.0003749818,0.0001619201,0.0002096074],"domain_scores_gemma":[0.9992328,0.00001255674,0.00006725447,0.0005739571,0.00001194135,0.0001015035],"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":[0.00002265581,0.0004094121,0.005964974,0.00005953819,0.00003021892,0.00006063793,0.002853193,0.00001604554,0.01309665,0.4721035,0.1824767,0.3229065],"study_design_scores_gemma":[0.0005488023,0.0003527618,0.00837775,0.0000361222,0.00001209374,0.00003727117,0.00004006138,0.2158976,0.200738,0.01014474,0.5629804,0.0008343147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5832789,0.007170307,0.2882634,0.009272376,0.009240266,0.001340547,0.00002917944,0.00598966,0.09541545],"genre_scores_gemma":[0.7708141,0.0003286901,0.2181005,0.003712866,0.002048381,0.00006665578,0.0001221194,0.00003930394,0.004767391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4619587,"threshold_uncertainty_score":0.9999034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115268924624953,"score_gpt":0.2526523732560778,"score_spread":0.1373834486311248,"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."}}