{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001833781,0.001082214,0.001750797,0.006626272,0.01673364,0.01260581,0.00242088,0.002184756,0.3492269],"category_scores_gemma":[0.008058148,0.001350864,0.0009373614,0.00957444,0.001957869,0.002667896,0.002116993,0.002756394,0.06800828],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08251024,"about_ca_system_score_gemma":0.2355757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914415,"about_ca_topic_score_gemma":0.9958506,"domain_scores_codex":[0.9962648,0.0001519928,0.0001189103,0.0004004259,0.002255441,0.0008084683],"domain_scores_gemma":[0.9872155,0.0008850172,0.0002883087,0.0005145764,0.009745343,0.001351173],"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":[0.00007752312,0.00005389925,0.003193527,0.0005287912,0.000025346,0.0001372019,0.0003859187,0.0001804185,0.0002457773,0.0243402,0.9105512,0.06028017],"study_design_scores_gemma":[0.00001571549,0.000006818786,0.006280823,0.00024492,0.00001626069,0.00003817851,0.0004351234,0.0001951838,0.0003219606,0.0004011808,0.9920166,0.00002733303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006104979,0.007777069,0.001483506,0.01714337,0.00147742,0.0003500913,0.06636574,0.002081905,0.897216],"genre_scores_gemma":[0.008006123,0.002911641,0.001393829,0.0008953589,0.00004334703,0.00006574672,0.005893312,0.0002802566,0.9805104],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9174898,"threshold_uncertainty_score":0.9282488,"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."}}