{"id":"W2068069405","doi":"10.1108/eb028982","title":"DEVELOPMENTS AND NEW DIRECTIONS AT <i>ORGANIZATIONAL ANALYSIS</i>","year":2004,"lang":"en","type":"article","venue":"Organizational Analysis","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Editorial board; Transition (genetics); Political science; Library science; Engineering ethics; Data science; Public relations; Computer science; Engineering","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":[0.06645031,0.001403718,0.00166365,0.007008484,0.004804561,0.02912624,0.004332028,0.01121525,0.02998453],"category_scores_gemma":[0.052851,0.001230712,0.002695928,0.006386831,0.01138268,0.04315294,0.007521993,0.02329413,0.01549896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004848832,"about_ca_system_score_gemma":0.009955759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001419596,"about_ca_topic_score_gemma":0.002483147,"domain_scores_codex":[0.9580203,0.02009851,0.003925942,0.001907323,0.01396299,0.002084904],"domain_scores_gemma":[0.806758,0.08615876,0.006153526,0.0166712,0.05933448,0.024924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001198978,0.0003106738,0.001362833,0.001370332,0.00006214049,0.0002422568,0.002372096,0.0001986274,0.0006796404,0.1211287,0.669434,0.2027188],"study_design_scores_gemma":[0.00001784682,0.00006487259,0.000533941,0.0006960397,0.00002319131,0.0003265284,0.002222294,0.0003288569,0.0002232558,0.03332279,0.9621935,0.0000468949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001239867,0.06265092,0.01940091,0.7643611,0.1247695,0.00006998616,0.0002031446,0.0005676802,0.02673691],"genre_scores_gemma":[0.04185132,0.1993038,0.1135636,0.1700422,0.3955866,0.0003315668,0.001086559,0.001502748,0.07673168],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.06645031,"threshold_uncertainty_score":0.351427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458778105320757,"score_gpt":0.2363774658168255,"score_spread":0.211789684763618,"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."}}