{"id":"W6944128353","doi":"10.17613/nfmms-ej882","title":"State of Art Museum Libraries: Evolving Practices Since 2016 and Shaping the Next Decade Together","year":2025,"lang":"en","type":"article","venue":"Knowledge Commons (Lakehead University)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; White paper; State (computer science); Best practice; Inclusion (mineral); Theme (computing); Museum informatics; Presidential system; Exhibition","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":[],"consensus_categories":[],"category_scores_codex":[0.0001472587,0.0001081782,0.0001338567,0.0002102957,0.0003717794,0.0001916425,0.0008545655,0.00003008369,0.000005326378],"category_scores_gemma":[0.00005761083,0.0000980667,0.00005013335,0.001153638,0.0001972136,0.0009343828,0.000710172,0.0001559268,0.00002135003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003554419,"about_ca_system_score_gemma":0.0003155495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003026731,"about_ca_topic_score_gemma":0.002096554,"domain_scores_codex":[0.9992381,0.0001205514,0.0001405763,0.000260569,0.00009143451,0.0001487322],"domain_scores_gemma":[0.9980623,0.001053609,0.0001918268,0.0004523923,0.0001860238,0.00005391633],"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":[0.000008431484,0.0001037653,0.001558744,0.00003269038,0.00005037602,0.000002199779,0.001555065,0.0001351094,0.0004069868,0.9696043,0.007134208,0.01940815],"study_design_scores_gemma":[0.0003971369,0.00003366142,0.02864043,0.0001934042,0.00003929861,0.000002709533,0.0001799854,0.04032721,0.0003353017,0.04801556,0.881606,0.0002292653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04182155,0.003009777,0.7249743,0.02102268,0.0002763034,0.0004705954,0.00001805414,0.0001985908,0.2082081],"genre_scores_gemma":[0.9938908,0.00001205274,0.001641762,0.00002915052,0.00001491389,0.000001786243,0.000002767167,0.000005520475,0.00440125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9520692,"threshold_uncertainty_score":0.3999044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04540132476119355,"score_gpt":0.2738761964902896,"score_spread":0.2284748717290961,"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."}}