{"id":"W6948602196","doi":"10.5281/zenodo.11266300","title":"Charting a Course to Collaboration: The LIbrary Data Services (LIDS) Dataset","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Religion, Theology, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Service (business); Presentation (obstetrics); Data as a service; Unit (ring theory); Information system; Metadata; Data collection","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005811112,0.00009878297,0.00007700726,0.0001058849,0.002376816,0.004009438,0.001352159,0.00002600006,0.02212695],"category_scores_gemma":[0.00008290561,0.00007673779,0.00001529858,0.0002621725,0.0001506143,0.001058444,0.001103575,0.0001484208,0.01451822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002198984,"about_ca_system_score_gemma":0.00001224585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005263733,"about_ca_topic_score_gemma":0.000008336115,"domain_scores_codex":[0.9988586,0.0002014643,0.0001869472,0.0003489326,0.0001884723,0.0002155469],"domain_scores_gemma":[0.9989464,0.00004041372,0.0000442934,0.0007224775,0.0001539646,0.00009241422],"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":[0.00001454206,0.00003179118,9.253105e-7,0.00006496024,0.00002870021,0.000003686656,0.04288736,0.000007127901,0.00004806181,0.06008566,0.8887503,0.008076936],"study_design_scores_gemma":[0.00005791033,0.00005719814,0.00003292784,0.00004774643,0.00002210633,0.00001793817,0.01613419,0.0006800729,0.0000229524,0.0006119871,0.9822177,0.00009727031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1145129,0.006814565,0.0008690543,0.2088082,0.00590281,0.003086916,0.04526533,0.006361172,0.6083791],"genre_scores_gemma":[0.8915785,0.0003678668,0.00009306204,0.003652009,0.003671124,2.621294e-7,0.09133206,0.001184427,0.008120696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7770656,"threshold_uncertainty_score":0.9989219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06487692881119549,"score_gpt":0.2912410585957835,"score_spread":0.226364129784588,"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."}}