{"id":"W7095543706","doi":"","title":"Acquisitions et services bibliographiques","year":2000,"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; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004231865,0.00005861364,0.00004494827,0.0006317055,0.00009129679,0.0007076649,0.0003669301,0.000019269,0.001839884],"category_scores_gemma":[5.613682e-7,0.00004660061,0.00003642185,0.003031744,0.00001173522,0.002508229,0.00005881296,0.00002559987,0.0003348769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002290067,"about_ca_system_score_gemma":0.00001771614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001917217,"about_ca_topic_score_gemma":0.000008310164,"domain_scores_codex":[0.9995189,0.00001565185,0.00008370148,0.0001484334,0.0001236303,0.0001096874],"domain_scores_gemma":[0.9997353,0.00002693667,0.00001082197,0.0001529993,0.00001600176,0.00005791932],"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":[0.00001881781,0.0002762432,0.02610187,0.00002603748,0.00006970921,0.00002274814,0.002361621,0.00009140843,0.00009296805,0.5510997,0.2117479,0.2080909],"study_design_scores_gemma":[0.0001738677,0.00004931338,0.04174743,0.0000120171,0.000001125278,0.00001170145,0.00002704073,0.002038508,0.001092197,0.03552234,0.9191077,0.0002167805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0647582,0.00007732391,0.005689077,0.002604496,0.00003880587,0.00004753886,7.160232e-7,0.0006698321,0.926114],"genre_scores_gemma":[0.8685532,0.0004230329,0.03279126,0.0158844,0.00004001922,0.00001813009,0.000007332535,0.000006821452,0.08227587],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8438382,"threshold_uncertainty_score":0.9990726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006095069012040611,"score_gpt":0.2147199278515533,"score_spread":0.2086248588395127,"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."}}