{"id":"W2953223789","doi":"","title":"MODEL PENGUKURAN KEKHUSYUKAN SHOLAT DENGAN PEMERIKSAAN ELEKTROFISIOLOGI KUANTITATIF","year":2019,"lang":"id","type":"article","venue":"Proceeding of The URECOL","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003605066,0.0004048113,0.0004954412,0.0003062768,0.0001719921,0.00004701973,0.0009561025,0.0003829357,0.0000936714],"category_scores_gemma":[0.0002863772,0.0003491137,0.0002110824,0.0009019743,0.0001136674,0.0001996329,0.0002181661,0.001055334,0.0001525354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060561,"about_ca_system_score_gemma":0.00007094699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008866432,"about_ca_topic_score_gemma":0.000004492705,"domain_scores_codex":[0.9981585,0.00001390219,0.0006040196,0.0003794525,0.0002684823,0.0005757004],"domain_scores_gemma":[0.998853,0.00009249047,0.0002065421,0.0005571121,0.0002258381,0.00006497544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002639727,0.0001788564,0.0993232,0.001881405,0.0007433228,0.000001449501,0.00191154,0.2030155,0.6502434,0.03589765,0.005048899,0.001728347],"study_design_scores_gemma":[0.0008907749,0.0001888447,0.01590068,0.0007195618,0.0002275551,0.00002206294,0.000653316,0.8882698,0.08779334,0.003206627,0.001237805,0.0008896851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985988,0.0004977491,0.001870221,0.0005238762,0.001701982,0.0009042463,0.0000312025,0.000543697,0.007939024],"genre_scores_gemma":[0.9910288,0.00007387616,0.005717105,0.0000352515,0.00009137629,0.00005247424,0.000007103546,0.0001001435,0.002893829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6852542,"threshold_uncertainty_score":0.9998961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606959053124271,"score_gpt":0.2193005633396904,"score_spread":0.2032309728084477,"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."}}