{"id":"W6989034349","doi":"","title":"ADAPTASI MODEL MCGILL YANG DIMODIFIKASI GUNA MENGUJI KEBERHASILAN IMPLEMENTASI SISTEM INFORMASI PENGELOLAAN KEUANGAN DAERAH (SIPKD) KABUPATEN LAMPUNG TIMUR","year":2014,"lang":"id","type":"other","venue":"Digilib Repository Unila (Lampung University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nonprobability sampling; Information system; Sample (material)","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":[0.004885501,0.00116643,0.001105489,0.001298825,0.0009710611,0.004759051,0.003204348,0.001295574,0.02556891],"category_scores_gemma":[0.02105069,0.0008629198,0.001639051,0.001379154,0.001234992,0.003678734,0.002250704,0.002145808,0.005445746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004680841,"about_ca_system_score_gemma":0.004878762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07053225,"about_ca_topic_score_gemma":0.07952356,"domain_scores_codex":[0.9972385,0.000976574,0.0001629349,0.0007085145,0.000728939,0.0001843711],"domain_scores_gemma":[0.991859,0.004705281,0.000525781,0.001021235,0.001555036,0.0003335428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001179653,0.0009811022,0.07540101,0.00142157,0.0009351147,0.0005469454,0.004884486,0.1084633,0.01053492,0.1336439,0.06302068,0.5989874],"study_design_scores_gemma":[0.0003995381,0.001266975,0.06303559,0.0005696785,0.0009387247,0.0005240507,0.002464596,0.6374882,0.008608302,0.1229965,0.1610679,0.0006400359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1598085,0.002503453,0.6847224,0.008556102,0.001029468,0.003430551,0.008926545,0.008677211,0.1223459],"genre_scores_gemma":[0.623151,0.001629791,0.2799232,0.001685583,0.0001935419,0.003089296,0.003665789,0.001265986,0.0853959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07053225,"threshold_uncertainty_score":0.1402434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569017546740953,"score_gpt":0.2039882454699189,"score_spread":0.1882980700025094,"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."}}