{"id":"W4385277880","doi":"10.32664/dharma.v1i1.881","title":"Mendorong Penguatan Peran Dasa Wisma Melalui SAM GEPUN BASA di lingkungan Kelurahan Kebonsari Malang.","year":2023,"lang":"id","type":"article","venue":"Dharma Nusantara Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004440737,0.002660794,0.002373631,0.002279305,0.003752053,0.0044643,0.006417305,0.000990947,0.002600489],"category_scores_gemma":[0.0006316477,0.00276357,0.001301507,0.005207067,0.0008019873,0.007664563,0.003511319,0.004514536,0.009619428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009848489,"about_ca_system_score_gemma":0.001637296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006808316,"about_ca_topic_score_gemma":0.0002125993,"domain_scores_codex":[0.9829392,0.001555878,0.003811554,0.003126607,0.003859965,0.004706802],"domain_scores_gemma":[0.9894551,0.001389307,0.001799455,0.003688352,0.0008726593,0.002795097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004968739,0.002841896,0.05279346,0.005248792,0.004543367,0.03013986,0.1237885,0.003892714,0.02822746,0.01770774,0.5570548,0.1687927],"study_design_scores_gemma":[0.01800629,0.003234373,0.112385,0.003402652,0.001496482,0.007140283,0.03750145,0.3926676,0.03402092,0.0004934677,0.3771721,0.0124794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9157305,0.003115116,0.005233281,0.006489063,0.01366299,0.003735662,0.002769372,0.003161407,0.04610259],"genre_scores_gemma":[0.9817855,0.001723657,0.002040257,0.00244019,0.002666221,0.0001487716,0.002805581,0.0003811343,0.006008641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3887749,"threshold_uncertainty_score":0.9989585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02773079237209295,"score_gpt":0.2704051838484988,"score_spread":0.2426743914764059,"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."}}