{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002791284,0.0004132545,0.0003852467,0.0008202571,0.002049025,0.002627849,0.0007207337,0.0006188449,0.05968889],"category_scores_gemma":[0.003510794,0.0002111788,0.0002430731,0.0009680516,0.0007021182,0.001328957,0.002106047,0.001212335,0.009175473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092472,"about_ca_system_score_gemma":0.005907271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200194,"about_ca_topic_score_gemma":0.004069009,"domain_scores_codex":[0.9983223,0.0006471061,0.00009970434,0.000261689,0.0004696779,0.0001994622],"domain_scores_gemma":[0.997787,0.0005701034,0.00016583,0.0002115893,0.0008809516,0.000384612],"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":[0.0007806707,0.001463597,0.04766048,0.002296544,0.00005187541,0.002691305,0.04246879,0.0004095006,0.0160216,0.02149395,0.09795769,0.7667041],"study_design_scores_gemma":[0.0000750988,0.0006588018,0.06595281,0.001177895,0.00006927696,0.001705699,0.06209417,0.00100473,0.01169731,0.005337331,0.8501311,0.00009573093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5327368,0.005832622,0.03291801,0.01619531,0.004043221,0.004035501,0.003113563,0.001083266,0.4000416],"genre_scores_gemma":[0.6595051,0.003999494,0.02927043,0.002103517,0.0003735677,0.003208179,0.001645056,0.0001933508,0.2997013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05968889,"threshold_uncertainty_score":0.1996793,"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."}}