{"id":"W4312237716","doi":"10.33330/jutsi.v2i2.1734","title":"Penentuan Peserta Penerima Bantuan Teknologi Tepat Guna Di Dinas Pemberdayaan Masyarakat Dan Desa Kabupaten Asahan","year":2022,"lang":"en","type":"article","venue":"JUTSI (Jurnal Teknologi dan Sistem Informasi)","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Business; Political science; Business administration","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"],"consensus_categories":[],"category_scores_codex":[0.002850307,0.0007736856,0.0008579449,0.0005804842,0.00423416,0.0009357647,0.00259991,0.0003817029,0.0004473862],"category_scores_gemma":[0.001106482,0.0007296554,0.0005377938,0.001497879,0.0007537041,0.001987586,0.002043596,0.001242676,0.00009855284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405906,"about_ca_system_score_gemma":0.0008517585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002248131,"about_ca_topic_score_gemma":0.0009992892,"domain_scores_codex":[0.9927894,0.0007369889,0.00146075,0.0009094516,0.001967662,0.00213567],"domain_scores_gemma":[0.9967726,0.0005688848,0.0009275779,0.0008002896,0.0002874284,0.0006431452],"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":[0.0004938122,0.0004132154,0.8969213,0.000104726,0.0002475405,0.0006234847,0.01372438,0.0001047354,0.0007812793,0.03921917,0.004495802,0.04287055],"study_design_scores_gemma":[0.001823799,0.0009450652,0.3096542,0.0001259422,0.00008949512,0.0003815167,0.0814963,0.0002631481,0.0009586157,0.0008656468,0.6013856,0.002010676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.661292,0.0002859978,0.00001188277,0.001356271,0.001696882,0.0006393067,0.00001774125,0.0006659595,0.334034],"genre_scores_gemma":[0.9859357,0.000318793,0.0003319359,0.0005930654,0.0003997964,0.0002501694,0.0001899202,0.00008113624,0.01189949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5968898,"threshold_uncertainty_score":0.9995155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170635534089976,"score_gpt":0.2748703427742663,"score_spread":0.2431639874333665,"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."}}