{"id":"W7095891443","doi":"","title":"National tibraw Bibliothwue nationale du Canada Acquisitions and Acquisitions et","year":2015,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Government (linguistics); Reproduction; Order (exchange); Control (management)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001298455,0.00007995639,0.00006143601,0.000433304,0.0001760488,0.0005566303,0.0002292616,0.00002391418,0.0001526624],"category_scores_gemma":[0.00008450379,0.00007310673,0.00001539066,0.001421561,0.0000251915,0.0021561,0.0001847596,0.00003907412,0.0000260236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007887754,"about_ca_system_score_gemma":0.00216381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004806928,"about_ca_topic_score_gemma":0.01969672,"domain_scores_codex":[0.9990171,0.00002488462,0.000128687,0.0001915875,0.0005177798,0.0001200065],"domain_scores_gemma":[0.9993175,0.0001625704,0.00003108626,0.00008782291,0.0002250319,0.0001759758],"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":[0.000001628693,0.00002219489,0.001051186,0.000001223707,0.000009194095,0.000003492807,0.0001685077,0.0001267232,0.000004382516,0.4854059,0.5130352,0.0001703073],"study_design_scores_gemma":[0.0006874559,0.00004387315,0.02086267,0.000007797716,0.000002106323,0.0001150413,0.0001242601,0.02203824,0.0002773459,0.07253017,0.8829606,0.0003504782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01467317,0.0001276491,0.04683009,0.02909523,0.0003283469,0.000125915,0.00003032021,0.0002319403,0.9085574],"genre_scores_gemma":[0.9316573,0.00001753967,0.01619161,0.01334642,0.0001263251,0.00002754822,0.00005846907,0.000007713684,0.03856707],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9169841,"threshold_uncertainty_score":0.9981912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116169125813537,"score_gpt":0.2213226445015206,"score_spread":0.2001609532433852,"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."}}