{"id":"W4392002382","doi":"10.46880/methabdi.vol3no2.pp170-174","title":"PELATIHAN PERENCANAAN BERBASIS DATA PADA PENGAWAS SEKOLAH, KEPALA SEKOLAH DAN GURU MENGGUNAKAN METODE INDENTIFIKASI, REFLEKSI DAN BENAHI (IRB) SECARA DARING","year":2023,"lang":"en","type":"article","venue":"Jurnal Pengabdian Pada Masyarakat METHABDI","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Worksheet; Facilitator; Unit (ring theory); Identification (biology); Plan (archaeology); Computer science; Mathematics education; Engineering; Psychology","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"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.007572274,0.001357114,0.001592743,0.001996096,0.001765532,0.001509528,0.01116159,0.0008743021,0.00007239347],"category_scores_gemma":[0.001595532,0.001395726,0.0005053309,0.005182622,0.000475459,0.004293259,0.005715867,0.003014896,0.0006698127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006839228,"about_ca_system_score_gemma":0.001024133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009143134,"about_ca_topic_score_gemma":0.002164694,"domain_scores_codex":[0.9869423,0.001770576,0.002210246,0.003516595,0.003178198,0.002382107],"domain_scores_gemma":[0.9882124,0.00157826,0.001185892,0.007384694,0.0005506563,0.0010881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002754445,0.001485574,0.3813417,0.001772054,0.005590356,0.009024019,0.01964708,0.002904188,0.08297572,0.1900761,0.1244675,0.1804402],"study_design_scores_gemma":[0.007413285,0.001319704,0.3884673,0.001818805,0.001151547,0.003434469,0.01409143,0.2144635,0.03220209,0.02163284,0.3038606,0.01014447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371849,0.001351135,0.020314,0.0114732,0.006443132,0.002526172,0.0006844794,0.004419686,0.01560331],"genre_scores_gemma":[0.972693,0.0001385359,0.02045888,0.0004932109,0.001057018,0.0001714414,0.0008764564,0.0002240537,0.003887386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2115593,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08010723440424111,"score_gpt":0.3176348162612249,"score_spread":0.2375275818569838,"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."}}