{"id":"W4234732095","doi":"10.1080/00987913.2015.1069237","title":"Reports of Conferences, Institutes, and Seminars","year":2015,"lang":"en","type":"article","venue":"Serials Review","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Column (typography); Library science; Workflow; Collection development; Computer science; World Wide Web; Database; History; Telecommunications; Archaeology","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":[0.0003951323,0.00006610137,0.0002297789,0.00003438877,0.00002005563,0.00006611352,0.0001457365,0.00001912464,0.00002438139],"category_scores_gemma":[0.000258428,0.00005035058,0.0000209586,0.0002829437,0.000031145,0.0006648675,0.0001541134,0.0000186651,0.000005253626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000576004,"about_ca_system_score_gemma":0.0004189987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008588122,"about_ca_topic_score_gemma":0.000001136214,"domain_scores_codex":[0.9992762,0.00003421871,0.0003047949,0.0001556353,0.0001547708,0.00007437613],"domain_scores_gemma":[0.9994715,0.00002478957,0.0001573422,0.0001921764,0.00006230659,0.00009183812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001445109,0.00009629928,0.008643701,0.002733828,0.00006176124,0.0001456414,0.0006163569,0.000003053045,0.0001626542,0.1375417,0.3156762,0.5343044],"study_design_scores_gemma":[0.00006696265,0.00003717579,0.0001902923,0.0008989573,0.000004009697,0.00007737619,0.000003753431,0.000007409314,0.0009055517,0.002238748,0.9954906,0.00007922822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02613463,0.5211492,0.004589669,0.003424696,0.001800437,0.00110224,0.000003485362,0.0002715413,0.4415241],"genre_scores_gemma":[0.5475204,0.3396753,0.08827412,0.005496297,0.0002994945,0.000117172,0.00003830767,0.00002725575,0.01855169],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6798143,"threshold_uncertainty_score":0.2053237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04683419311512298,"score_gpt":0.2589851749028591,"score_spread":0.2121509817877361,"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."}}