{"id":"W3217739733","doi":"10.52523/maskermedika.v5i2.450","title":"IDENTIFIKASI RESPON PENDERITA DALAM MENYIKAPI NYERI FRAKTUR DI WILAYAH KABUPATEN DAN KOTA PROVINSI SUMATERA SELATAN TAHUN 2017","year":2021,"lang":"id","type":"article","venue":"Masker Medika","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Medicine","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":[0.00120558,0.000522617,0.0003438477,0.00115521,0.002571753,0.002394521,0.0004918756,0.000498741,0.01791815],"category_scores_gemma":[0.001464109,0.0002705326,0.0003580432,0.001379812,0.0009432439,0.0009043795,0.001938862,0.0009221521,0.002549561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002076644,"about_ca_system_score_gemma":0.004090054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02822485,"about_ca_topic_score_gemma":0.071806,"domain_scores_codex":[0.9991156,0.0001841841,0.00004667258,0.0001849141,0.0003011895,0.000167299],"domain_scores_gemma":[0.9988891,0.0001791937,0.0001792869,0.0000865874,0.0004515273,0.0002142294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005641135,0.0004648975,0.529555,0.001326202,0.0002622471,0.002587232,0.06977914,0.0003539639,0.04469145,0.01697155,0.01760584,0.3158383],"study_design_scores_gemma":[0.00002022459,0.0002868301,0.5983213,0.0004275223,0.0001610004,0.001225954,0.06591074,0.0002285884,0.01581452,0.002787595,0.3147478,0.0000679994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8570277,0.0040888,0.003917895,0.002994313,0.0003602784,0.0001718826,0.00217499,0.0001182865,0.1291459],"genre_scores_gemma":[0.8677175,0.003174594,0.004447929,0.0006141655,0.00005439521,0.0001368345,0.0017057,0.00005437752,0.1220944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02822485,"threshold_uncertainty_score":0.05994213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115922418562985,"score_gpt":0.2688611347727839,"score_spread":0.237701910587154,"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."}}