{"id":"W4392664411","doi":"10.58300/transformatif.v12i2.721","title":"Analisis Peran Kemitraan Antar Wirausaha Migran dan Lokal Dalam Meningkatkan Kinerja Usaha","year":2024,"lang":"id","type":"article","venue":"Transformatif","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Political science","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":[0.00290575,0.0003940206,0.0004609588,0.001500894,0.001801346,0.00241221,0.0006905526,0.0006078262,0.01381942],"category_scores_gemma":[0.008046669,0.0002498659,0.0006706751,0.002095902,0.0007685305,0.001213468,0.001638542,0.001299111,0.001574135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583754,"about_ca_system_score_gemma":0.004343708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02865248,"about_ca_topic_score_gemma":0.04145586,"domain_scores_codex":[0.9976433,0.0007531155,0.0002330686,0.000378243,0.0006600111,0.0003321208],"domain_scores_gemma":[0.9938576,0.002122262,0.001201493,0.0003164303,0.001985048,0.0005172422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004449237,0.0003955053,0.7442283,0.002135072,0.0003241056,0.00156126,0.06740214,0.0004580361,0.004769328,0.007391447,0.0158959,0.154994],"study_design_scores_gemma":[0.000035817,0.0004089551,0.769333,0.001159703,0.0002743579,0.0008798013,0.1288776,0.0007424255,0.002479174,0.002691536,0.09305139,0.00006630192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434247,0.002423252,0.003594083,0.004222578,0.000197756,0.0005547199,0.002973165,0.00007542179,0.0425344],"genre_scores_gemma":[0.9507473,0.002415975,0.005352293,0.001013294,0.00007416603,0.00072992,0.001735223,0.00005106669,0.03788086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02865248,"threshold_uncertainty_score":0.05697143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027406841161785,"score_gpt":0.280358889887602,"score_spread":0.2600848214759842,"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."}}