{"id":"W4361225358","doi":"10.1080/00987913.2023.2174400","title":"Serials Spoken Here","year":2023,"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":"Library science; Quarter (Canadian coin); Resolver; Diversity (politics); Column (typography); Equity (law); Resource (disambiguation); World Wide Web; Web site; Political science; Computer science; Geography; The Internet; Telecommunications","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00247723,0.0009618643,0.0008350048,0.003134354,0.002205331,0.008136687,0.001578116,0.001872775,0.5774946],"category_scores_gemma":[0.01615177,0.0004701284,0.0006120594,0.004760942,0.0009370624,0.005263593,0.002245252,0.003358378,0.4392887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502775,"about_ca_system_score_gemma":0.004150355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007922043,"about_ca_topic_score_gemma":0.009991642,"domain_scores_codex":[0.9971318,0.0004229345,0.0002378088,0.0003149151,0.001648626,0.0002438265],"domain_scores_gemma":[0.9878706,0.001579345,0.0006632682,0.0009008222,0.007957143,0.00102878],"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":[0.000007226458,0.000005305749,0.00001914837,0.0001129943,7.237359e-7,0.00001080945,0.00004609124,0.000006134144,0.00006234075,0.001742542,0.9784895,0.01949721],"study_design_scores_gemma":[0.000001443483,0.000005354953,0.00007221917,0.00009154913,5.209794e-7,0.000008435208,0.00005166772,0.000002436981,0.00002426359,0.0001058868,0.9996346,0.000001507909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0004129823,0.01986671,0.0006416854,0.02567929,0.1121106,0.0002971484,0.002939607,0.0009889386,0.837063],"genre_scores_gemma":[0.002366576,0.009756426,0.0003542149,0.006953502,0.01115703,0.000144185,0.001724021,0.0005852354,0.9669588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9918633,"threshold_uncertainty_score":0.6026527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129250362259723,"score_gpt":0.2661342514769824,"score_spread":0.2348417478543852,"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."}}