{"id":"W4385436773","doi":"10.31932/jpe.v7i1.1495","title":"DAMPAK PANDEMI COVID-19 TERHADAP KONTRIBUSI NILAI PERDAGANGAN INDONESIA-CHINA (CATRUWULAN I TAHUN 2020)","year":2022,"lang":"en","type":"article","venue":"Jurnal Pendidikan Ekonomi (JURKAMI)","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Indonesian; Value (mathematics); Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); International trade; Business; Economics; Geography","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":[0.0004913377,0.0002854562,0.000197461,0.0005780686,0.000753756,0.001894137,0.0001905931,0.0002667275,0.008900188],"category_scores_gemma":[0.000465803,0.0001220684,0.0002020441,0.0009538707,0.0003151387,0.0009039544,0.0007724413,0.0006663117,0.001307468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008564856,"about_ca_system_score_gemma":0.003002143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006643026,"about_ca_topic_score_gemma":0.01051627,"domain_scores_codex":[0.9997454,0.00004913507,0.0000225714,0.0000298766,0.00008099798,0.00007193325],"domain_scores_gemma":[0.9997358,0.00005308026,0.00006347347,0.00001403673,0.00006346064,0.00007017409],"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":[0.000500826,0.000630049,0.3820541,0.001659317,0.0001487549,0.003293194,0.007321613,0.001843787,0.006830758,0.02112391,0.02801048,0.5465832],"study_design_scores_gemma":[0.00003432695,0.0005067737,0.688668,0.0008698395,0.0001272719,0.00223593,0.01866245,0.002419901,0.005199148,0.003628427,0.2775849,0.00006302917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8291364,0.01567842,0.001993699,0.005584918,0.0007121661,0.0001619921,0.002689715,0.0001153639,0.1439275],"genre_scores_gemma":[0.9495744,0.009255618,0.002037664,0.0004297537,0.0001242807,0.0000885901,0.001462223,0.00002275015,0.0370047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008900188,"threshold_uncertainty_score":0.02977413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096700807891511,"score_gpt":0.3470629566340096,"score_spread":0.3160959485550945,"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."}}