{"id":"W2247861697","doi":"","title":"Heritage, Records & Trust: Understanding societyʼs past through social media?","year":2012,"lang":"en","type":"article","venue":"","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Field (mathematics); Context (archaeology); Sociology; Social media; Epistemology; Social theory; Internet privacy; Data science; Public relations; Media studies; Computer science; History; World Wide Web; Political science; Social science; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004154122,0.0004143898,0.0004343261,0.005266959,0.007935989,0.02335219,0.00151308,0.002375183,0.007410165],"category_scores_gemma":[0.0183471,0.000506452,0.0003155993,0.005606505,0.03208133,0.06067457,0.006656989,0.002515174,0.0007452822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005439742,"about_ca_system_score_gemma":0.00454086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973483,"about_ca_topic_score_gemma":0.02605159,"domain_scores_codex":[0.9976017,0.001319322,0.0001103956,0.0003146638,0.0003175552,0.0003364912],"domain_scores_gemma":[0.9890361,0.004959176,0.002255572,0.001750515,0.0009119967,0.001086577],"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":[0.00007132185,0.00005821491,0.01562265,0.0002820992,0.00004531136,0.0006283291,0.3237171,0.0003420162,0.0001604867,0.5906326,0.00681984,0.06162008],"study_design_scores_gemma":[0.00001236635,0.00006907694,0.01006509,0.001072024,0.00006175104,0.0007075414,0.4011234,0.001274059,0.0003217811,0.3981379,0.1870775,0.00007757261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4159182,0.02431968,0.02306122,0.1434256,0.001188528,0.00007418884,0.0006643342,0.000171291,0.391177],"genre_scores_gemma":[0.9887934,0.005258644,0.001238477,0.0006192841,0.0001681306,0.00001993025,0.0000609312,0.00002900641,0.003812176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02335219,"threshold_uncertainty_score":0.03946829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283711495367919,"score_gpt":0.2432270776813375,"score_spread":0.1148559281445456,"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."}}