{"id":"W2972237489","doi":"10.28945/4095","title":"A Thematic Analysis of Interdisciplinary Journal of Information, Knowledge, and Management (IJIKM)","year":2018,"lang":"en","type":"article","venue":"Interdisciplinary Journal of Information Knowledge and Management","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Knowledge management; Thematic analysis; Automatic summarization; Personal knowledge management; Subject (documents); Information management; Information system; Body of knowledge; Computer science; Data science; Qualitative research; Organizational learning; Sociology; Library science; Social science; Engineering; Information retrieval","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.05140933,0.0005635311,0.0009856893,0.02153344,0.005972435,0.007264706,0.001449334,0.00116675,0.003929151],"category_scores_gemma":[0.1047729,0.000337747,0.001186221,0.02659371,0.004017558,0.004631388,0.004866725,0.001319832,0.0006647637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00742061,"about_ca_system_score_gemma":0.01538665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153809,"about_ca_topic_score_gemma":0.003074228,"domain_scores_codex":[0.9654472,0.01787238,0.004213898,0.002105021,0.009368203,0.0009931944],"domain_scores_gemma":[0.8986602,0.04847515,0.009771603,0.004713896,0.03632586,0.002053354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004352697,0.0001796642,0.04291729,0.01171132,0.0002002123,0.001148642,0.5473161,0.0003909272,0.008613274,0.05169667,0.03989344,0.2954971],"study_design_scores_gemma":[0.00007109253,0.0002805899,0.07527876,0.007271354,0.0002065967,0.0009917999,0.5876722,0.00125301,0.003553659,0.01969253,0.3036004,0.0001279432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7249871,0.01223239,0.09130761,0.02411085,0.00640664,0.03354348,0.01377193,0.0003342945,0.09330565],"genre_scores_gemma":[0.7340429,0.01069607,0.1717029,0.003904852,0.001304169,0.04774508,0.006211723,0.0004454953,0.02394682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9784666,"threshold_uncertainty_score":0.2718817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931361021748945,"score_gpt":0.3911259036607571,"score_spread":0.3618122934432677,"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."}}