{"id":"W7095082558","doi":"","title":"Acquisitions and Acquisitions et Bibliographie Services seivices bibliographiques","year":2008,"lang":"en","type":"article","venue":"","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Order (exchange); Legislation; Reproduction; Information system; The Internet","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":[0.00007338421,0.0001766639,0.0001491631,0.006973792,0.0001880222,0.0001050617,0.0001410234,0.00007574102,0.0002813057],"category_scores_gemma":[0.000001863756,0.0001541805,0.0000795355,0.007883172,0.000103611,0.0004972793,0.00004937065,0.0001625875,0.00001910455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005558475,"about_ca_system_score_gemma":0.000004932215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000208045,"about_ca_topic_score_gemma":0.0001866724,"domain_scores_codex":[0.9991544,0.00001430693,0.0001541053,0.000177162,0.0001987497,0.0003012828],"domain_scores_gemma":[0.999507,0.00007284488,0.000009578155,0.000188184,0.00005926142,0.0001631566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001090436,0.0005187726,0.3316965,0.006137512,0.003006744,0.0008103403,0.01160425,0.1259101,0.1260227,0.07260419,0.304356,0.01722397],"study_design_scores_gemma":[0.000678034,0.0001316849,0.9095128,0.0001329866,0.0000423508,0.0004982736,0.0003631578,0.05765181,0.002682348,0.004021429,0.02326248,0.001022698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738496,0.002937111,0.001383802,0.0003042653,0.00011144,0.0001258367,0.00006670499,0.001361933,0.01985929],"genre_scores_gemma":[0.9789994,0.01921899,0.001346786,0.0001573203,0.00006271726,0.00002727612,0.00003107711,0.00002807533,0.0001283995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5778163,"threshold_uncertainty_score":0.6287299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009992847627392734,"score_gpt":0.2267156471166779,"score_spread":0.2167227994892852,"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."}}