{"id":"W4387876909","doi":"10.1080/10572317.2023.2270888","title":"Hidden Public Services","year":2023,"lang":"en","type":"article","venue":"The International Information & Library Review","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cataloging; Service (business); Work (physics); Metadata; Knowledge management; Public relations; Business; World Wide Web; Staff management; Computer science; Political science; Management; Marketing; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0009488212,0.00008879464,0.0001030465,0.0001891632,0.000488208,0.00105242,0.001538496,0.00003540977,0.006069147],"category_scores_gemma":[0.0001159072,0.00005980311,0.00008901178,0.001276421,0.000105152,0.08225209,0.0002177728,0.0001036391,0.01136106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002056553,"about_ca_system_score_gemma":0.0002156532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003810535,"about_ca_topic_score_gemma":0.000001512572,"domain_scores_codex":[0.9983364,0.00008991815,0.0005089797,0.00007065789,0.0007639955,0.0002300349],"domain_scores_gemma":[0.9992105,0.0001121002,0.0002569964,0.0002146289,0.0001042252,0.0001015974],"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":[0.000002213731,0.000004757555,0.0006472046,0.0001575664,0.00001381102,3.641313e-7,0.004316085,0.000002830109,3.968969e-7,0.5416279,0.3861701,0.06705684],"study_design_scores_gemma":[0.00005480185,0.000004361069,0.001260935,0.00023855,0.000002948491,0.000001772401,0.001447743,0.0004787965,0.00000481291,0.002727628,0.9936966,0.00008110478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002047125,0.001309371,0.00001698014,0.4522947,0.001038026,0.0004680185,0.00004408294,0.0006490698,0.5421326],"genre_scores_gemma":[0.05876373,0.2171479,0.0005555481,0.6679631,0.001291935,0.0002764195,0.003921226,0.00002493863,0.05005508],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6075265,"threshold_uncertainty_score":0.9999846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615659087388737,"score_gpt":0.3074906871175438,"score_spread":0.2713340962436565,"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."}}