{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004116066,0.0001828853,0.0004319127,0.003867844,0.002584979,0.007022055,0.0008671408,0.0007665133,0.005863257],"category_scores_gemma":[0.04814797,0.0003996879,0.0003202366,0.005653337,0.002288335,0.01099214,0.003203375,0.0007353759,0.0009492126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948788,"about_ca_system_score_gemma":0.001049638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101168,"about_ca_topic_score_gemma":0.01088254,"domain_scores_codex":[0.994787,0.001739146,0.0005373824,0.0008677268,0.001491941,0.0005767785],"domain_scores_gemma":[0.9637189,0.01419089,0.01153185,0.003168066,0.005189807,0.002200529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002475304,0.0001948501,0.8366355,0.000202734,0.0001019277,0.0005484071,0.03274289,0.0005056214,0.001071694,0.005954771,0.006669344,0.1151248],"study_design_scores_gemma":[0.00002407038,0.0001915298,0.8126165,0.000318089,0.0001140436,0.001832328,0.1289714,0.003243692,0.002394077,0.01534508,0.03480797,0.0001412318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719675,0.001038808,0.002544701,0.003768969,0.00004740072,0.0000615098,0.0006428034,0.000140803,0.01978747],"genre_scores_gemma":[0.9970492,0.0002914192,0.001157551,0.0001845025,0.00004062354,0.00001867246,0.000218039,0.00003048696,0.001009528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0101168,"threshold_uncertainty_score":0.02176815,"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."}}