{"id":"W191415697","doi":"","title":"How Next-Gen R U? A Review of Academic OPACs in the United States and Canada.","year":2011,"lang":"en","type":"review","venue":"Computers in libraries","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); State (computer science); World Wide Web; Library science; Political science; Computer science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002125165,0.0008936466,0.001250374,0.009862183,0.001525248,0.003353984,0.001663114,0.001572132,0.008587004],"category_scores_gemma":[0.004855984,0.0005023782,0.000600646,0.01553764,0.001319559,0.002910126,0.001100706,0.001631252,0.003430882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008766131,"about_ca_system_score_gemma":0.03077422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2304767,"about_ca_topic_score_gemma":0.4931755,"domain_scores_codex":[0.9991676,0.00009080204,0.0000794836,0.00007514728,0.0005011503,0.00008598751],"domain_scores_gemma":[0.9969159,0.0005814224,0.0002910981,0.00005839198,0.001878189,0.0002750321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005163882,0.00004361595,0.0002912707,0.01835828,0.00005965278,0.0001551285,0.0001693768,0.0002100788,0.0002513738,0.00572859,0.1544027,0.8202784],"study_design_scores_gemma":[0.00000633574,0.00001761211,0.0007105312,0.005672663,0.00006603693,0.0002004127,0.00009610681,0.00002667973,0.0001013581,0.0006278128,0.9924604,0.00001403351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007865909,0.9952684,0.00006262918,0.0009963114,0.0002137715,0.000012011,0.00008094467,0.00001280074,0.003274537],"genre_scores_gemma":[0.0007115249,0.9965306,0.000177329,0.0006764377,0.0000843979,0.00000917467,0.0000774376,0.00000384792,0.001729241],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.996646,"threshold_uncertainty_score":0.4582704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07612922060653204,"score_gpt":0.2629110334474857,"score_spread":0.1867818128409537,"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."}}