{"id":"W2980626338","doi":"10.1002/pra2.64","title":"What's in people's digital file collections?","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"World Wide Web; Collections management; Digital collections; Computer science; File format; Personal information management; Information retrieval; Database; Information system","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002477237,0.00006328683,0.0001409683,0.001579461,0.0002491576,0.001508096,0.0007001942,0.00008288988,0.00005143629],"category_scores_gemma":[0.005816127,0.00004476511,0.00003740462,0.007170103,0.0001102661,0.01763962,0.0002360656,0.00008413095,0.00006039838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840092,"about_ca_system_score_gemma":0.00009218707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000297898,"about_ca_topic_score_gemma":0.000005301755,"domain_scores_codex":[0.9980732,0.00000162292,0.0005115742,0.0001242875,0.001105439,0.0001838867],"domain_scores_gemma":[0.996663,0.000182669,0.0007386791,0.00009905664,0.002294697,0.00002187401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002149006,0.00003246631,0.8179675,0.00002454945,0.000007510848,4.146724e-9,0.002569872,0.0000159345,0.0004757383,0.1061651,0.04451985,0.02820004],"study_design_scores_gemma":[0.00165535,0.0001793408,0.4404334,0.00007739862,0.00001454205,0.000004839046,0.0633092,0.009138812,0.004206898,0.04419676,0.4364589,0.0003245385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666297,0.000004589089,0.000008399915,0.005175074,0.0003821659,0.0006270681,0.00005194661,0.00003793434,0.02708307],"genre_scores_gemma":[0.9942465,0.000008422165,0.00008376297,0.0001568157,0.000004976274,0.00005250605,0.000003643404,0.000001511044,0.005441862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.391939,"threshold_uncertainty_score":0.9995284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03704228221816525,"score_gpt":0.3266738430418456,"score_spread":0.2896315608236804,"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."}}