{"id":"W3215365964","doi":"10.20473/jlm.v5i2.2021.372-381","title":"PENINGKATAN VOLUME USAHA ANGGOTA MELALUI OPTIMALISASI PENGGUNAAN PLATFORM DIGITAL PADA KOPERASI DISABILITAS INDONESIA","year":2021,"lang":"en","type":"article","venue":"Jurnal Layanan Masyarakat (Journal of Public Services)","topic":"Local Governance and Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Business; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Government (linguistics); Indonesian government; Pandemic; Work (physics); Economic growth; Economics; Medicine; 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":[0.0008244216,0.001303347,0.000792439,0.001043164,0.0008760485,0.005032949,0.0007706734,0.0007997353,0.06613852],"category_scores_gemma":[0.002541036,0.0003873278,0.0006806954,0.0007306137,0.0005474717,0.002806174,0.001813586,0.001160634,0.01172395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009900805,"about_ca_system_score_gemma":0.002246819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0043647,"about_ca_topic_score_gemma":0.00549179,"domain_scores_codex":[0.9994063,0.0001173098,0.00004447883,0.000111928,0.0002213417,0.00009863488],"domain_scores_gemma":[0.9991731,0.0002959243,0.0000628436,0.00006728992,0.0003050255,0.00009573188],"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":[0.0007871573,0.0008618359,0.007902684,0.002113255,0.0001699231,0.001267557,0.0007249815,0.1056703,0.0108385,0.05770058,0.0822645,0.7296987],"study_design_scores_gemma":[0.0001515745,0.00094757,0.01363078,0.001609441,0.0003912206,0.001651262,0.003907338,0.396626,0.02133678,0.08926109,0.4701913,0.0002956481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1559603,0.02401506,0.1647346,0.008623878,0.004081611,0.0007294205,0.003455173,0.003775021,0.6346249],"genre_scores_gemma":[0.7024895,0.01334119,0.07498422,0.0008682394,0.0006061347,0.0004906281,0.002313253,0.001253344,0.2036535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06613852,"threshold_uncertainty_score":0.2212554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225823856146435,"score_gpt":0.2702767577406225,"score_spread":0.2476943721259791,"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."}}