{"id":"W7096820496","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services semices bibliographiques","year":2015,"lang":"en","type":"article","venue":"","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Government (linguistics); Legislation; Subject (documents); Work (physics)","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":["insufficient_payload"],"category_scores_codex":[0.004924632,0.001154126,0.001311876,0.01666807,0.002838304,0.01861155,0.001377382,0.001703929,0.4720297],"category_scores_gemma":[0.02385783,0.0008655261,0.0007164666,0.04452247,0.001502027,0.008821963,0.004161793,0.002192074,0.3317442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005694694,"about_ca_system_score_gemma":0.01437082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179417,"about_ca_topic_score_gemma":0.01618318,"domain_scores_codex":[0.9923785,0.001722467,0.001012909,0.0009815663,0.003386145,0.0005185181],"domain_scores_gemma":[0.987204,0.002540107,0.001426433,0.003136453,0.004681526,0.001011359],"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":[0.00008566627,0.00003113499,0.001594413,0.0008694735,0.00003001931,0.0000951161,0.0009927833,0.0001492106,0.0006642461,0.08199936,0.6898201,0.2236686],"study_design_scores_gemma":[0.000005661252,0.000005001281,0.0009199528,0.0001055518,0.00000357221,0.00005892784,0.0002059206,0.00006337475,0.0001976121,0.001596133,0.9968302,0.000008020123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002556338,0.006815833,0.007204713,0.006527699,0.003593346,0.0004172145,0.05207109,0.005116181,0.9156976],"genre_scores_gemma":[0.02948633,0.01384701,0.01026335,0.0009137952,0.001851289,0.0004677745,0.047183,0.004213098,0.8917743],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5279703,"threshold_uncertainty_score":0.7530855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1729993436278766,"score_gpt":0.3286750986293688,"score_spread":0.1556757550014922,"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."}}