{"id":"W2755837328","doi":"","title":"Our Expectations About Archives: Archival Theory Through a Community Informatics Lens","year":2006,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Through-the-lens metering; Lens (geology); Sociology; Computer science; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01623629,0.0004851228,0.0005324602,0.005022506,0.01439278,0.03347621,0.003202706,0.005822609,0.008344344],"category_scores_gemma":[0.02302058,0.0006008933,0.0006460103,0.004370517,0.0772552,0.03667426,0.01016245,0.006625485,0.0009978076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01548042,"about_ca_system_score_gemma":0.01096909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01358877,"about_ca_topic_score_gemma":0.007683262,"domain_scores_codex":[0.984515,0.01106778,0.0004560073,0.0009885816,0.001968085,0.001004596],"domain_scores_gemma":[0.9748052,0.01595622,0.001732217,0.002334014,0.00259988,0.002572518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005361458,0.00001124048,0.0002557646,0.00002308224,0.000001287242,0.00003095084,0.01736986,0.0001606608,0.0000171209,0.9796616,0.0008155293,0.001647525],"study_design_scores_gemma":[0.00001313917,0.00002199468,0.0003719476,0.0002310134,0.000007138149,0.0001028168,0.06060788,0.001279764,0.0001059671,0.8831878,0.05405033,0.00002016983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09785868,0.005350445,0.07423365,0.1086764,0.0005358459,0.0001862917,0.0001907132,0.0002012069,0.7127668],"genre_scores_gemma":[0.9763511,0.001626741,0.007508597,0.001901351,0.0002618968,0.0001718924,0.00006322598,0.00008919176,0.01202585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03347621,"threshold_uncertainty_score":0.1123189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201613214399622,"score_gpt":0.2188181731621862,"score_spread":0.18680204101819,"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."}}