{"id":"W3144232221","doi":"10.1108/omj-06-2020-0967","title":"Discerning citation patterns in dominant BME literature streams: lessons for BME scholars","year":2021,"lang":"en","type":"article","venue":"Organization Management Journal","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Experiential learning; Citation; Legitimacy; Originality; Identification (biology); Entrepreneurship; STREAMS; Knowledge management; Sociology; Data science; Qualitative research; Computer science; Social science; Pedagogy; Political science; World Wide Web","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.05252632,0.0004992223,0.001202013,0.05587185,0.004467508,0.02367061,0.001887787,0.002043568,0.006012868],"category_scores_gemma":[0.2793275,0.0006140964,0.0009319644,0.06817305,0.005082857,0.02631368,0.007533418,0.002260615,0.001649514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004301046,"about_ca_system_score_gemma":0.008761313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002969346,"about_ca_topic_score_gemma":0.005300555,"domain_scores_codex":[0.9679558,0.01156888,0.007486676,0.003481133,0.007974402,0.001533031],"domain_scores_gemma":[0.6277187,0.2650086,0.03098,0.01842305,0.05301202,0.004857513],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004123302,0.000216349,0.198768,0.007049512,0.0002947052,0.001091878,0.1767825,0.0004791186,0.002055593,0.1261246,0.01522877,0.4714966],"study_design_scores_gemma":[0.00008568398,0.0001689036,0.1938226,0.01709379,0.0002955403,0.001598849,0.3250369,0.003175167,0.002625797,0.2248902,0.2309635,0.0002432342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6810445,0.07023078,0.05932215,0.1032643,0.003479419,0.002063329,0.006664573,0.0006884345,0.07324265],"genre_scores_gemma":[0.9052694,0.02468151,0.05162904,0.004608185,0.001598735,0.001683605,0.003766888,0.0004977016,0.006264759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9474736,"threshold_uncertainty_score":0.2777891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659901698062884,"score_gpt":0.2498652954138937,"score_spread":0.2332662784332649,"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."}}