{"id":"W4384347856","doi":"10.59697/jsik.v6i2.163","title":"PEMILIHAN TEMPAT PENYULUHAN BERDASARKAN TINGKAT KERAWANAN DENGAN MENGGUNAKAN METODE SMART","year":2022,"lang":"en","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Agency (philosophy); Government (linguistics); Substance abuse; Recovery rate; Business; Psychology; Psychiatry; Sociology; Social science","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":[0.0006906386,0.0004347126,0.0003644361,0.0006872939,0.0005246171,0.001475438,0.0003913573,0.0003562521,0.01300811],"category_scores_gemma":[0.001093903,0.0001987182,0.000254376,0.0008468836,0.0004334503,0.001339222,0.0008555463,0.0004152283,0.002615973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004589639,"about_ca_system_score_gemma":0.0009775264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700713,"about_ca_topic_score_gemma":0.004579778,"domain_scores_codex":[0.9995701,0.0001164179,0.00003919187,0.00008538,0.0001473774,0.00004146871],"domain_scores_gemma":[0.9995083,0.0001652222,0.00004377493,0.00006854376,0.0001764165,0.00003780385],"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":[0.0007983437,0.0002473842,0.02213303,0.0009970113,0.00006541565,0.0006932824,0.002779868,0.006124389,0.05315538,0.01436735,0.007541937,0.8910965],"study_design_scores_gemma":[0.0002126154,0.001755555,0.1449826,0.0006312383,0.0004455868,0.004610612,0.01848949,0.1313029,0.180857,0.01962705,0.4965113,0.0005740758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6792828,0.002190842,0.1868952,0.001190732,0.0002592319,0.0007013954,0.002368294,0.004148715,0.1229627],"genre_scores_gemma":[0.7887205,0.001309208,0.1651962,0.0001425817,0.00002495918,0.0003293621,0.001410589,0.000156494,0.04271003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01300811,"threshold_uncertainty_score":0.04351652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108955768432146,"score_gpt":0.221348825541973,"score_spread":0.2104532486987584,"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."}}