{"id":"W4410832956","doi":"10.1177/03128962251334223","title":"Person-centered insights into organizational change: Identifying and analyzing profiles using latent profile analysis","year":2025,"lang":"en","type":"article","venue":"Australian Journal of Management","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Latent class model; Organizational change; Latent variable; Knowledge management; Psychology; Business; Computer science; Political science; Artificial intelligence; Public relations; Machine learning","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":[0.01081566,0.0005067234,0.0006009266,0.007037846,0.002410054,0.006713854,0.001179592,0.001213747,0.004771933],"category_scores_gemma":[0.03605299,0.0004063121,0.001000869,0.008266902,0.004639441,0.008284723,0.0045051,0.00235142,0.0007654793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003454674,"about_ca_system_score_gemma":0.003479466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003967375,"about_ca_topic_score_gemma":0.005204606,"domain_scores_codex":[0.9895679,0.008108445,0.0003635159,0.0007077475,0.0009912155,0.0002609955],"domain_scores_gemma":[0.9720014,0.02006123,0.002699191,0.002757128,0.001852373,0.0006287333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001095124,0.0002390994,0.05712543,0.0009615869,0.0001388978,0.0004371635,0.1889122,0.003963334,0.001976127,0.4469329,0.005352489,0.2938513],"study_design_scores_gemma":[0.00003718754,0.0001304356,0.04590426,0.001114936,0.0000750334,0.0005052096,0.1245023,0.04576914,0.001300605,0.7435108,0.0370042,0.000145911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1142627,0.0008420729,0.8626797,0.0049504,0.00007165177,0.0006980394,0.0009851389,0.0002881044,0.01522231],"genre_scores_gemma":[0.6244902,0.0008031879,0.3698197,0.0004586128,0.00003556975,0.001308365,0.0008614688,0.00008268795,0.002140138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01081566,"threshold_uncertainty_score":0.05719936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2453951745626243,"score_gpt":0.4518087033364581,"score_spread":0.2064135287738338,"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."}}