{"id":"W4413671644","doi":"10.64628/aan.rhsyeaqnw","title":"Agar tidak mati akibat kelamaan duduk","year":2017,"lang":"id","type":"preprint","venue":"","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial intelligence; Computer 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":[0.0008095912,0.0006975423,0.001162341,0.001360697,0.001242988,0.003842947,0.0003772018,0.0009212581,0.05712776],"category_scores_gemma":[0.006455536,0.0002900652,0.0004904652,0.00119189,0.001001751,0.002794616,0.00280886,0.00211451,0.02127765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145464,"about_ca_system_score_gemma":0.001481671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074618,"about_ca_topic_score_gemma":0.0008182083,"domain_scores_codex":[0.9992436,0.0001283421,0.00003987206,0.000201674,0.0003033033,0.00008319964],"domain_scores_gemma":[0.9983247,0.0004200438,0.0001090027,0.000259102,0.0007227368,0.000164385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004073384,0.0001199143,0.003520987,0.0008311708,0.0001218963,0.0009724899,0.0009832297,0.001758728,0.004112687,0.5601041,0.2297929,0.1972746],"study_design_scores_gemma":[0.00006046394,0.00005847704,0.005186167,0.0003620899,0.00007930064,0.001756603,0.001064923,0.008120394,0.005378859,0.4903805,0.4874765,0.00007561806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.08815746,0.01811446,0.1033455,0.09409788,0.03477716,0.0001559443,0.009471443,0.003951574,0.6479286],"genre_scores_gemma":[0.4781675,0.009888846,0.03753597,0.004148613,0.006082503,0.0001385069,0.005639256,0.001797602,0.4566011],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05712776,"threshold_uncertainty_score":0.1911114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05443502831338089,"score_gpt":0.3631745135387777,"score_spread":0.3087394852253968,"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."}}