{"id":"W2740568281","doi":"","title":"Growing a web archiving program: A case study for evolving an organization-management plan","year":2015,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"World Wide Web; Metadata; Presentation (obstetrics); Plan (archaeology); Work (physics); Casual; Computer science; Knowledge management; Business; Engineering; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02119928,0.0004293261,0.0003451013,0.003127818,0.02586886,0.01243556,0.004612766,0.005157898,0.002922562],"category_scores_gemma":[0.02554227,0.0007661839,0.0006476594,0.004843053,0.005856595,0.008621643,0.007133235,0.00571882,0.0007039023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01931912,"about_ca_system_score_gemma":0.02547991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06596755,"about_ca_topic_score_gemma":0.16591,"domain_scores_codex":[0.9844126,0.009224556,0.0005074592,0.0007483314,0.002310565,0.002796565],"domain_scores_gemma":[0.9728535,0.009255116,0.001805549,0.002630451,0.00529703,0.008158254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001999585,0.005235423,0.06540158,0.0004192058,0.00004836302,0.02405822,0.6434622,0.003114783,0.003049462,0.05892961,0.02205362,0.1740276],"study_design_scores_gemma":[0.00004081539,0.0004978351,0.01489441,0.0003074381,0.00003891702,0.002901389,0.8282056,0.004417218,0.001660442,0.005853116,0.1411007,0.00008205308],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011734,0.0005569279,0.01454927,0.02027722,0.0001505248,0.001227286,0.000156813,0.0002553578,0.06165329],"genre_scores_gemma":[0.9358445,0.0008757508,0.04189305,0.001911185,0.00007723702,0.0005007926,0.0002024713,0.00020395,0.01849106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06596755,"threshold_uncertainty_score":0.1401706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982163397052669,"score_gpt":0.3053654531366004,"score_spread":0.2555438191660737,"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."}}