{"id":"W2911153404","doi":"10.31605/jcis.v1i1.242","title":"ANALISIS UJI VALIDITAS TES BUATAN GURU BAHASA BUGIS DENGAN MENGGUNAKAN ARTIFICIAL INTELLIGENCE (AI) KELAS IX 1 SMPN 1 LABAKKANG KABUPATEN PANGKEP","year":2018,"lang":"id","type":"article","venue":"Journal of Computer and Information System ( J-CIS )","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Psychology; Humanities; Philosophy","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":[0.01079927,0.001109044,0.0007351576,0.005070257,0.001890308,0.007522053,0.001376321,0.001115294,0.03219682],"category_scores_gemma":[0.04979603,0.0005180859,0.001119436,0.00468559,0.001116716,0.003826157,0.003045415,0.002159312,0.008542429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0032403,"about_ca_system_score_gemma":0.004448179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01510115,"about_ca_topic_score_gemma":0.01623879,"domain_scores_codex":[0.982799,0.002784743,0.001444818,0.001734637,0.01036515,0.0008716325],"domain_scores_gemma":[0.9243214,0.03243185,0.005625224,0.005115898,0.03121733,0.001288486],"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":[0.00148735,0.0005629781,0.3070854,0.004729412,0.0005739721,0.002002779,0.02141322,0.002995741,0.02544298,0.02068126,0.07111403,0.5419109],"study_design_scores_gemma":[0.00006725438,0.0008545716,0.544556,0.002120155,0.0007289948,0.001661615,0.05015053,0.008642028,0.0355981,0.01336105,0.3419795,0.0002803455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5407404,0.00485811,0.06594335,0.007565795,0.001150726,0.00276733,0.02514154,0.00416545,0.3476673],"genre_scores_gemma":[0.8347074,0.002660537,0.05291509,0.001223539,0.0002270456,0.001704568,0.01523119,0.00109715,0.09023339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03219682,"threshold_uncertainty_score":0.1077091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210961900710251,"score_gpt":0.2695649842442581,"score_spread":0.2374553652371556,"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."}}