{"id":"W3112453499","doi":"10.1108/jd-03-2020-0034","title":"Organizing personal digital information: an analysis of faculty member activities","year":2020,"lang":"en","type":"article","venue":"Journal of Documentation","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"","keywords":"Personal information management; Knowledge management; Originality; Personally identifiable information; Apprehension; Information literacy; Psychology; Sociology; Qualitative research; Information system; Public relations; Pedagogy; Computer science; Management information systems; Engineering; Political science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005902207,0.00007976509,0.0002584937,0.0005880732,0.00006307982,0.0007304787,0.0002790918,0.00002679883,0.001476674],"category_scores_gemma":[0.0002608823,0.00005966203,0.0001984008,0.001257701,0.0000287075,0.01679471,0.00003897793,0.00008132827,0.00004142557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004145518,"about_ca_system_score_gemma":0.00004596162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004707339,"about_ca_topic_score_gemma":0.000002708359,"domain_scores_codex":[0.9973719,0.00003872527,0.0009424021,0.00006593514,0.001501272,0.00007978558],"domain_scores_gemma":[0.9979765,0.00009259736,0.001218025,0.0000704109,0.000535114,0.0001073861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007420777,0.0002321092,0.6091157,0.00004474073,0.001881646,0.00001171977,0.2056586,0.01431336,0.0027461,0.001814537,0.01884103,0.1445984],"study_design_scores_gemma":[0.00245951,0.0008862722,0.5874126,0.00002356497,0.001726608,0.00001841424,0.3209167,0.05866991,0.003495215,0.000471447,0.0234801,0.0004397012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900062,0.000005328177,0.008104253,0.0009094483,0.00006974866,0.00004968668,0.0000510312,0.000007196375,0.0007970905],"genre_scores_gemma":[0.9988009,0.000003127759,0.0005812396,0.0004033438,0.00005390933,5.237554e-7,0.00006773046,0.000002365192,0.00008688488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1441587,"threshold_uncertainty_score":0.9994361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.244372757925867,"score_gpt":0.4503428839351853,"score_spread":0.2059701260093184,"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."}}