{"id":"W4390147367","doi":"10.20527/jukung.v9i2.17575","title":"ANALISIS POTENSI RISIKO K3 DENGAN METODE HIRARC (Hazard Identification, Risk Assesment and Risk Control) DI LABORATORIUM MIKROBIOLOGIFAKULTAS KEDOKTERAN UNAND","year":2023,"lang":"id","type":"article","venue":"Jukung (Jurnal Teknik Lingkungan)","topic":"Occupational Health and Safety Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; 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":[0.00171844,0.0009697247,0.001257901,0.001215651,0.00069258,0.002482065,0.0006871258,0.001052982,0.003995256],"category_scores_gemma":[0.001845246,0.0005352428,0.001727501,0.00128586,0.0004704406,0.000700045,0.001034023,0.001232937,0.001120545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009266872,"about_ca_system_score_gemma":0.001295748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026095,"about_ca_topic_score_gemma":0.01465741,"domain_scores_codex":[0.9970021,0.0003712371,0.0002215636,0.000608468,0.001520191,0.0002764449],"domain_scores_gemma":[0.9979829,0.0005506148,0.0004565718,0.0001839212,0.000724731,0.0001012721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005190698,0.0008126078,0.2593154,0.002415626,0.001002584,0.001017291,0.001971832,0.002651756,0.6163196,0.0006412459,0.001344193,0.1073171],"study_design_scores_gemma":[0.0000633317,0.003507152,0.3966937,0.0002132541,0.001317998,0.00161103,0.003592453,0.00352529,0.5664676,0.0007754291,0.02206779,0.0001649994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741223,0.00581424,0.01039053,0.000263581,0.00009693698,0.000240383,0.003545797,0.0002418141,0.00528441],"genre_scores_gemma":[0.9658368,0.00276466,0.01342482,0.0002126628,0.00002588078,0.0002359768,0.002644529,0.0000996028,0.01475494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01026095,"threshold_uncertainty_score":0.02040243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807116131702851,"score_gpt":0.3573733822937852,"score_spread":0.3293022209767567,"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."}}