{"id":"W4410924532","doi":"10.29173/istl2883","title":"Science Libraries Today: An Update on ARL Institutions","year":2025,"lang":"en","type":"article","venue":"Issues in Science and Technology Librarianship","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; World Wide Web; Political science; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0124285,0.0008006495,0.001545435,0.05884487,0.002494672,0.01451575,0.002911784,0.001740484,0.03956985],"category_scores_gemma":[0.07062875,0.001086385,0.001183516,0.1550423,0.001148555,0.02119735,0.007663405,0.00316193,0.03166378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006823377,"about_ca_system_score_gemma":0.01093992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04092214,"about_ca_topic_score_gemma":0.05211758,"domain_scores_codex":[0.9767655,0.00328043,0.006074714,0.002485565,0.009605981,0.001787829],"domain_scores_gemma":[0.8257912,0.03884416,0.04192397,0.01594789,0.0648518,0.01264101],"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":[0.0001736433,0.0001007608,0.06198618,0.003179858,0.0001141564,0.0001586672,0.002578238,0.0003028892,0.0003731531,0.007502405,0.7083352,0.215195],"study_design_scores_gemma":[0.000006680876,0.00001300904,0.03597402,0.001062028,0.00003084496,0.0001629659,0.00125505,0.00006085308,0.0002649384,0.0003352294,0.9607888,0.00004544889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.03972287,0.06649692,0.003068411,0.03069918,0.00336685,0.0002021814,0.7391409,0.003939266,0.1133633],"genre_scores_gemma":[0.1190613,0.07145347,0.01250065,0.01341666,0.003638764,0.0005572769,0.7311564,0.003193193,0.04502231],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9854842,"threshold_uncertainty_score":0.1323743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07938366278950891,"score_gpt":0.3855437445918238,"score_spread":0.3061600818023149,"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."}}