{"id":"W7100881698","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services seMces 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":"Government (linguistics); Order (exchange); 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":[0.0001933601,0.0001505868,0.0001218257,0.01024812,0.0002056183,0.001916876,0.000460056,0.00005448462,0.00004655893],"category_scores_gemma":[0.000006139807,0.0001239571,0.00006250188,0.02127862,0.00007981295,0.005146944,0.000379678,0.00006057171,0.00003763018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004577977,"about_ca_system_score_gemma":0.00005493547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008437547,"about_ca_topic_score_gemma":0.00006026292,"domain_scores_codex":[0.9989036,0.00005214912,0.0001861872,0.0003311834,0.0003041416,0.0002226829],"domain_scores_gemma":[0.999171,0.00009010479,0.00005252497,0.0002576227,0.000127723,0.0003009793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002145883,0.0002531159,0.1050763,0.00004215162,0.0001304108,0.00002457731,0.002872887,0.00002669468,0.0001030963,0.5466159,0.3410176,0.003815826],"study_design_scores_gemma":[0.001466536,0.0004956441,0.1006892,0.00009688993,0.00002374491,0.0001381274,0.001634178,0.004770253,0.001781014,0.4658747,0.4218127,0.001216968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.229692,0.004539476,0.09675978,0.01981395,0.0005559202,0.0005090329,0.00003268939,0.003448075,0.644649],"genre_scores_gemma":[0.9349307,0.001637256,0.05125692,0.008314955,0.00007559631,0.00005209565,0.00002557595,0.00001559867,0.003691326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7052386,"threshold_uncertainty_score":0.9995246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230306895421457,"score_gpt":0.2498965710289374,"score_spread":0.2268658814867917,"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."}}