{"id":"W1603468035","doi":"10.7202/1025147ar","title":"Archives and Technological Selection","year":2014,"lang":"en","type":"article","venue":"Cinémas Revue d études cinématographiques","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digitization; Plan (archaeology); Selection (genetic algorithm); Monopoly; Digital Archives; Order (exchange); Politics; Emerging technologies; Search engine indexing; History; Library science; Computer science; World Wide Web; Political science; Law; Telecommunications; Archaeology; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006242321,0.0005864601,0.0004563814,0.005497892,0.01202966,0.02216848,0.00137035,0.002571852,0.01966391],"category_scores_gemma":[0.01228578,0.0003167249,0.000451081,0.007997186,0.02726043,0.01617905,0.01110316,0.00315919,0.002811276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008281061,"about_ca_system_score_gemma":0.005239903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004977454,"about_ca_topic_score_gemma":0.003757774,"domain_scores_codex":[0.9892079,0.005668974,0.0005637623,0.001094023,0.002320282,0.001145007],"domain_scores_gemma":[0.9933119,0.003594646,0.000675517,0.0008449262,0.0009779235,0.0005951095],"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":[0.00001199426,0.000008108299,0.0004085127,0.00003983842,0.000002331305,0.00008626306,0.007246607,0.00006549818,0.00002965596,0.9731265,0.006607046,0.01236761],"study_design_scores_gemma":[0.00001541073,0.00003171069,0.001094615,0.0003419025,0.000008344935,0.0003460398,0.01443998,0.0001037907,0.0001704154,0.2600644,0.7233663,0.00001702122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01588792,0.01468976,0.005010808,0.01719552,0.0008018821,0.00008478707,0.0001622982,0.00007666685,0.9460903],"genre_scores_gemma":[0.773748,0.02302372,0.006537121,0.004746136,0.002888764,0.0003679048,0.0002967011,0.0002557744,0.1881358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02216848,"threshold_uncertainty_score":0.06578231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193525825774988,"score_gpt":0.2000720387839041,"score_spread":0.1781367805261542,"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."}}