{"id":"W1572130740","doi":"","title":"Legislative Library of British Columbia MARC records","year":2011,"lang":"en","type":"article","venue":"BCLA Browser: Linking the Library Landscape","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Checklist; Library science; Electronic records; Legislature; Library catalog; Service (business); Records management; Resource (disambiguation); World Wide Web; Business; History; Computer science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003543221,0.0001722476,0.0003284704,0.0001210194,0.0002656449,0.001486559,0.003559309,0.0001364975,0.001237032],"category_scores_gemma":[0.00001345936,0.0001734965,0.0001733461,0.001284186,0.0001567711,0.0222705,0.001094836,0.0002738237,0.0001214918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000345715,"about_ca_system_score_gemma":0.0002658957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004765798,"about_ca_topic_score_gemma":0.00005851241,"domain_scores_codex":[0.9977151,0.0002329884,0.0007205813,0.0004201558,0.0004710143,0.0004402293],"domain_scores_gemma":[0.9981773,0.0001817797,0.0004443552,0.001015308,0.00003351451,0.0001476653],"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":[0.0000374267,0.0001315819,0.4232728,0.0001207922,0.00008603458,0.00004970253,0.0164801,0.00001155051,0.0000331007,0.01404865,0.4984905,0.0472378],"study_design_scores_gemma":[0.001370322,0.0005634913,0.2949474,0.0007891737,0.00001514906,0.0003233668,0.001328234,0.0193932,0.001521138,0.05070252,0.6278936,0.001152421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1524622,0.0006526957,0.003925361,0.001618985,0.001800411,0.0006653843,0.00009554545,0.001220002,0.8375594],"genre_scores_gemma":[0.913739,0.0003136838,0.0290149,0.004160929,0.0007964401,0.00004880313,0.00008022233,0.00006272302,0.05178331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7857761,"threshold_uncertainty_score":0.999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860685462136615,"score_gpt":0.1799804876490502,"score_spread":0.161373633027684,"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."}}