{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005763927,0.0001320725,0.0003348207,0.00008477482,0.0001016276,0.0002748519,0.0006137712,0.00003647071,0.0004072312],"category_scores_gemma":[0.0002106536,0.0001049787,0.00009323106,0.00162702,0.00001381489,0.001035459,0.000340133,0.00003521965,0.003739264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001372663,"about_ca_system_score_gemma":0.0001211602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000024615,"about_ca_topic_score_gemma":7.290581e-7,"domain_scores_codex":[0.9987438,0.0001100991,0.0003640834,0.0002937512,0.0002416233,0.0002466677],"domain_scores_gemma":[0.9992882,0.00008955858,0.0001027268,0.0003856022,0.00003636907,0.0000975353],"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":[0.000007729919,0.0000287538,0.0002396937,0.001766414,0.00004840893,0.00005284917,0.0001485282,0.000006156416,0.000760156,0.02795736,0.788608,0.180376],"study_design_scores_gemma":[0.0001010574,0.0000200747,0.0004626988,0.0006037001,0.000004170424,0.000007672827,0.000003842939,0.00001943747,0.001209673,0.002348117,0.9950542,0.0001653724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.05517431,0.2358626,0.004481366,0.06609078,0.01278448,0.005750164,0.00004504097,0.0105325,0.6092788],"genre_scores_gemma":[0.03433654,0.6321924,0.02678486,0.04073527,0.002787484,0.0008500753,0.0002106804,0.0001707806,0.2619319],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3963299,"threshold_uncertainty_score":0.9970365,"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."}}