{"id":"W4387519840","doi":"10.25170/interact.v12i1.4093","title":"Pengaruh Fitur Aplikasi Tiktok Jharna Bhagwani terhadap Keputusan Penggunaan Produk Make Up","year":2023,"lang":"en","type":"article","venue":"Jurnal InterAct","topic":"Educational Methods and Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Quarter (Canadian coin); Simple random sample; Simple linear regression; Sampling (signal processing); Statistics; Sample size determination; Computer science; Advertising; Linear regression; Mathematics; Business; Medicine; Geography; Population; Environmental health; Telecommunications; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006059729,0.0003939286,0.0002744712,0.0009401462,0.001552431,0.002887033,0.0005495431,0.0004262278,0.03911496],"category_scores_gemma":[0.001458899,0.0003189888,0.0002762561,0.001579247,0.0005437163,0.002479558,0.001662195,0.001026083,0.006940768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007102611,"about_ca_system_score_gemma":0.001359616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004344469,"about_ca_topic_score_gemma":0.01123175,"domain_scores_codex":[0.9994183,0.00009165667,0.00003608871,0.00007817226,0.0002588775,0.0001169538],"domain_scores_gemma":[0.9990935,0.0003608911,0.0001191319,0.00006831924,0.0001796811,0.0001784982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006621628,0.001101128,0.1116611,0.002473217,0.0001002938,0.002957069,0.02184441,0.0004263417,0.02753161,0.01378663,0.03230985,0.7851462],"study_design_scores_gemma":[0.00005044294,0.0009432273,0.3845643,0.0008189913,0.0001927506,0.003774923,0.04078202,0.001410977,0.01539782,0.00428935,0.5476012,0.0001740113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7324563,0.003962988,0.003802673,0.002476792,0.0003294186,0.0003962871,0.001339765,0.0003686384,0.2548671],"genre_scores_gemma":[0.8604119,0.004476803,0.008381783,0.0004969126,0.0001055177,0.0002702689,0.001143696,0.0001444288,0.1245686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03911496,"threshold_uncertainty_score":0.1308526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0941511428912996,"score_gpt":0.4368054409347493,"score_spread":0.3426542980434497,"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."}}