{"id":"W7095928643","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services setvices bibliographiques","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":"Order (exchange); Government (linguistics); Legislation; Subject (documents)","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":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002061641,0.000159813,0.0001275686,0.01025392,0.0002137176,0.00205222,0.0004962085,0.00005830967,0.00004963828],"category_scores_gemma":[0.000005301981,0.0001322921,0.00006390279,0.02144335,0.00007698968,0.005647681,0.0003989917,0.00006470305,0.00004408786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004848528,"about_ca_system_score_gemma":0.00005651062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009933944,"about_ca_topic_score_gemma":0.00007760298,"domain_scores_codex":[0.9988419,0.00005473812,0.0001966024,0.0003524888,0.0003196565,0.0002345652],"domain_scores_gemma":[0.9991163,0.00009419604,0.00005961243,0.0002759175,0.0001357302,0.0003182479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003079919,0.0003757514,0.1294293,0.00007698127,0.0002024535,0.00003679231,0.006155605,0.00004053196,0.0001397337,0.477412,0.3802797,0.005820453],"study_design_scores_gemma":[0.001824367,0.0005760496,0.1801318,0.0001198491,0.0000313226,0.0001614074,0.002786385,0.007319294,0.001658038,0.3022068,0.5017043,0.001480344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2889385,0.002426655,0.04513909,0.01592863,0.0004537253,0.0004374391,0.00003375413,0.002860467,0.6437818],"genre_scores_gemma":[0.9591801,0.001210307,0.02913221,0.00791584,0.00006284977,0.00004518455,0.00002733274,0.00001362223,0.002412601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6702416,"threshold_uncertainty_score":0.9993563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250574147322785,"score_gpt":0.2514026203707282,"score_spread":0.2288968788975003,"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."}}