{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003620449,0.0005125779,0.0007090865,0.0004574618,0.004797231,0.0005119564,0.001564684,0.0002286747,0.008579114],"category_scores_gemma":[0.0009360679,0.0005491109,0.0006407056,0.0010664,0.0004077846,0.0007530517,0.0006628837,0.001240609,0.0001556898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002973384,"about_ca_system_score_gemma":0.003298081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006854785,"about_ca_topic_score_gemma":0.003059345,"domain_scores_codex":[0.9937213,0.001642762,0.0009406268,0.0009378999,0.001379811,0.00137757],"domain_scores_gemma":[0.9964525,0.0005061884,0.0006651503,0.0007299954,0.00009218757,0.001554015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00136225,0.00171545,0.6584343,0.0001966261,0.0005417995,0.0009747844,0.05641849,0.002805219,0.001509627,0.03055993,0.2172782,0.02820329],"study_design_scores_gemma":[0.00214555,0.0002657149,0.1767939,0.00001407134,0.00009618713,0.0001137648,0.009117037,0.0002084757,0.00002211332,0.001244654,0.8092307,0.000747787],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346116,0.0005607111,0.0008669652,0.036437,0.002398841,0.001406098,0.0002611314,0.0005810044,0.02287666],"genre_scores_gemma":[0.9852775,0.0002470341,0.0000662344,0.007457349,0.001241444,0.0001213431,0.0001623774,0.00007382165,0.005352858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5919526,"threshold_uncertainty_score":0.9997587,"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."}}