{"id":"W7099419698","doi":"","title":"Acquisitions et services bibliographiques","year":2000,"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":"Government (linguistics); Order (exchange); Legislation; Subject (documents); Reproduction","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":[0.004573973,0.001638706,0.00200465,0.01648146,0.003472659,0.0235526,0.002495338,0.00288413,0.6631151],"category_scores_gemma":[0.01968509,0.0009788017,0.000762284,0.03428162,0.001275917,0.006998395,0.00486961,0.002796995,0.7066749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006343269,"about_ca_system_score_gemma":0.01362302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01537323,"about_ca_topic_score_gemma":0.01094828,"domain_scores_codex":[0.9906679,0.00159441,0.001292811,0.001437904,0.004229687,0.0007773442],"domain_scores_gemma":[0.9875599,0.001447907,0.001103393,0.002964416,0.005282355,0.001641954],"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":[0.00005899269,0.00002930371,0.0004827517,0.0005528334,0.00001468215,0.00008201243,0.0002107426,0.00008329075,0.0004920729,0.02327007,0.7944576,0.1802656],"study_design_scores_gemma":[0.000004626053,0.000003087835,0.0002564134,0.00005617104,0.000001774625,0.00005256725,0.00005477004,0.00002530816,0.00007043909,0.0006084385,0.9988613,0.000005236288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008724807,0.006413544,0.003448353,0.004591667,0.003061032,0.0003662671,0.0421311,0.006903362,0.9322122],"genre_scores_gemma":[0.00721163,0.00869173,0.004805734,0.001019108,0.00124765,0.0003816826,0.05143902,0.003962863,0.9212406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6631151,"threshold_uncertainty_score":0.4805253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066564967287075,"score_gpt":0.3112794308097566,"score_spread":0.2046229340810491,"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."}}