{"id":"W4400591788","doi":"10.59024/simpati.v1i3.224","title":"Penerapan Pendampingan Dalam Meningkatkan Kompetensi Supervisi Akademik Kepala SMA Binaan di Wilayah Kabupaten Nias Barat","year":2023,"lang":"en","type":"article","venue":"SIMPATI","topic":"School Leadership and Teacher Performance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; SMA*; Geology; Geography; Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001383893,0.0003105526,0.0003558216,0.0002478267,0.001160189,0.0002535389,0.0007310997,0.0002399477,0.0004368225],"category_scores_gemma":[0.0002330608,0.0003016041,0.0001598903,0.001441948,0.0003325174,0.000652211,0.0001361945,0.0005376366,0.0008521529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457285,"about_ca_system_score_gemma":0.0003165886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716328,"about_ca_topic_score_gemma":0.002019788,"domain_scores_codex":[0.9967278,0.0003860669,0.0003894808,0.0005682401,0.0008026325,0.001125771],"domain_scores_gemma":[0.9986252,0.0001932943,0.0001219986,0.0004799808,0.0001379718,0.0004415184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001544399,0.00004819803,0.9042746,0.00002669948,0.0000517492,0.00002419427,0.08358901,0.0001119973,0.0009493913,0.002733939,0.003556224,0.004618553],"study_design_scores_gemma":[0.001505997,0.0002788953,0.7533716,0.0001607499,0.00009770962,0.000006574377,0.07951375,0.003778612,0.002708341,0.001108443,0.1559715,0.001497891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732048,0.0001127133,0.00001814206,0.005317905,0.0008324393,0.000315966,0.00001293314,0.0007111987,0.01947388],"genre_scores_gemma":[0.9938766,0.0001279486,0.00008660651,0.0002953492,0.000960449,0.00004393118,0.00009795868,0.00005707706,0.004454085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1524152,"threshold_uncertainty_score":0.9999436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08612085565931778,"score_gpt":0.3494282368860389,"score_spread":0.2633073812267211,"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."}}