{"id":"W7100706401","doi":"","title":"Acquisitions and Acquisitions et Bi bliog raphic Services 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); Legislation; Work (physics); Government (linguistics); Information system","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001199707,0.0001932452,0.0001476639,0.002809795,0.0004003202,0.002030893,0.0006036308,0.00007280015,0.001275267],"category_scores_gemma":[7.802948e-7,0.0001640144,0.0000777442,0.007899939,0.00006195562,0.005263968,0.0002134634,0.00007767042,0.0001421705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004769461,"about_ca_system_score_gemma":0.00003247085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001331644,"about_ca_topic_score_gemma":0.0001181927,"domain_scores_codex":[0.998724,0.00005656737,0.0002363815,0.0004302072,0.0002742535,0.0002786232],"domain_scores_gemma":[0.9992796,0.00009358692,0.00004711202,0.0003310709,0.00006116099,0.0001874892],"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":[0.0001754421,0.00167269,0.1981097,0.0007593328,0.0007957086,0.000139811,0.01932745,0.0003160863,0.001203213,0.5497474,0.1064951,0.1212581],"study_design_scores_gemma":[0.001385348,0.0003499461,0.2884562,0.0002326327,0.0000332829,0.0001542901,0.0006871549,0.01510161,0.001767953,0.101063,0.5892922,0.001476389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5737734,0.001119693,0.002525979,0.006293712,0.0001091418,0.0002614094,0.00001808568,0.001469172,0.4144294],"genre_scores_gemma":[0.9626038,0.00297399,0.009749862,0.01392636,0.00006632233,0.00004813965,0.00003755996,0.00001641615,0.01057754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4827971,"threshold_uncertainty_score":0.9996377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005708025059347599,"score_gpt":0.2134469502156226,"score_spread":0.207738925156275,"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."}}