{"id":"W3035581092","doi":"10.1108/jm2-11-2019-0259","title":"Identification of critical brand community variables and constructs using importance-performance analysis and neural networks","year":2020,"lang":"en","type":"article","venue":"Journal of Modelling in Management","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Construct (python library); Identification (biology); Originality; Brand community; Meaning (existential); Computer science; Knowledge management; Marketing; Psychology; Brand equity; Business; Creativity; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001974405,0.00005066293,0.000201004,0.0001009663,0.0001651139,0.00007946545,0.0001024346,0.00003502611,0.000002275309],"category_scores_gemma":[0.0001786392,0.0000507496,0.00003329005,0.0003859516,0.0002353462,0.0002440718,0.00003557807,0.000173319,1.776789e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002267184,"about_ca_system_score_gemma":0.00001389988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001044221,"about_ca_topic_score_gemma":0.00002733915,"domain_scores_codex":[0.9990033,0.0001807397,0.0004247083,0.00006501127,0.0002159177,0.0001103368],"domain_scores_gemma":[0.9993156,0.000239434,0.0002346898,0.00004774907,0.00008597077,0.00007659188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001101536,0.00007981202,0.2105985,0.0003363805,0.0002149006,0.00001251428,0.01329542,0.7614853,0.00002737968,0.004480818,0.000008074167,0.009350682],"study_design_scores_gemma":[0.0001925269,0.00002534256,0.006932552,0.00006114839,0.0002206733,6.514377e-7,0.00532896,0.985936,0.000005218811,0.001232382,0.000008156423,0.00005641316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324725,0.0001933938,0.06651455,0.0002647958,0.00006869345,0.00005087778,7.706291e-7,0.000003237484,0.0004311723],"genre_scores_gemma":[0.9974744,0.0006018131,0.00183079,0.00004032806,0.00004560361,3.133818e-7,3.287957e-7,0.000002864846,0.000003547752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2244507,"threshold_uncertainty_score":0.2069509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04566591838422192,"score_gpt":0.2995725413399157,"score_spread":0.2539066229556938,"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."}}