{"id":"W4292959168","doi":"10.5267/j.ijdns.2022.7.007","title":"Building marketing performance through digital marketing and database-based networking capability in Indonesian SMEs","year":2022,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonprobability sampling; Structural equation modeling; Business; Indonesian; Quality (philosophy); Marketing; Bridge (graph theory); Database; Digital marketing; Sampling (signal processing); Knowledge management; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01663238,0.0001011459,0.0001530938,0.0001718574,0.0008724996,0.0006918976,0.00140301,0.00002021856,0.00002693672],"category_scores_gemma":[0.001499902,0.0001009741,0.00002038116,0.0006901682,0.0005132204,0.003865012,0.00141795,0.000283184,1.140996e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828734,"about_ca_system_score_gemma":0.0004763792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004056885,"about_ca_topic_score_gemma":0.00003620484,"domain_scores_codex":[0.9974052,0.0002827113,0.0004558625,0.0003413168,0.001135429,0.0003795274],"domain_scores_gemma":[0.9978455,0.00139497,0.0003659805,0.0001502228,0.0001427401,0.0001005502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002584688,0.00002514905,0.8148955,0.000008887967,0.000008865902,0.00002389576,0.0005275707,0.0004303516,0.00001639359,0.0001828635,0.000174014,0.1834481],"study_design_scores_gemma":[0.001714202,0.00009408468,0.780966,0.001333374,0.00002089302,0.0001938373,0.007467697,0.0594497,0.00001759046,0.00138701,0.1466651,0.0006904919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935106,0.0005232805,0.0005408064,0.0007770159,0.0009764871,0.00008292499,0.0000227961,0.00001063535,0.003555479],"genre_scores_gemma":[0.9915938,0.0003501031,0.007343195,0.0001611946,0.0005217022,0.000001864284,0.00001239787,0.000005706625,0.00001006242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1827576,"threshold_uncertainty_score":0.671065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03458214267266168,"score_gpt":0.3178778801964411,"score_spread":0.2832957375237794,"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."}}