{"id":"W7098144224","doi":"","title":"National Library l*l ofCanada Biblioth&amp;amp;que nationale du Canada","year":2000,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"National library; Government (linguistics); Work (physics); Information system","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":[0.00005567019,0.0001214029,0.00008834884,0.0004276727,0.0002114042,0.0006535946,0.0006392667,0.00003372208,0.01266577],"category_scores_gemma":[0.00003437645,0.0001095712,0.00003285075,0.002590409,0.00001995109,0.003286357,0.000109592,0.00006314534,0.0002557612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000834423,"about_ca_system_score_gemma":0.003644033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03471022,"about_ca_topic_score_gemma":0.2064076,"domain_scores_codex":[0.998509,0.00002312463,0.0002067841,0.0002722314,0.0007797998,0.0002090148],"domain_scores_gemma":[0.9994196,0.0001735116,0.00003446636,0.0001607079,0.00005409848,0.0001575914],"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":[0.00000360656,0.0000157228,0.002560511,0.000002243663,0.00001137644,0.000004044704,0.00004532852,0.0002023852,0.000001811329,0.04394897,0.9503369,0.002867134],"study_design_scores_gemma":[0.0001410147,0.000003655957,0.004502334,0.000002717374,3.943655e-7,0.0000195607,0.000002196816,0.001059876,0.0001170518,0.005400259,0.9885837,0.0001672229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02500341,0.00005614644,0.001783879,0.008661143,0.0002271237,0.00008628155,0.00001397578,0.0002390688,0.963929],"genre_scores_gemma":[0.1395272,0.0000546419,0.01756025,0.01238404,0.0002178539,0.00001956421,0.00008224115,0.00001385186,0.8301404],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1716974,"threshold_uncertainty_score":0.9882368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292703699019488,"score_gpt":0.1880175072915574,"score_spread":0.1750904703013626,"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."}}