{"id":"W3111611348","doi":"10.37695/pkmcsr.v3i0.806","title":"Training Of Trainer (Tot) Perencanaan Mitigasi Bencana Untuk Staff Happy Heart","year":2020,"lang":"id","type":"article","venue":"Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR)","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Trainer; Humanities; Forestry; Geography; Computer science; Art; Operating system","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":[0.001161829,0.0005288722,0.0003447398,0.0005837562,0.002435058,0.002539028,0.000870759,0.001206907,0.1038449],"category_scores_gemma":[0.00152129,0.0002537411,0.0004516476,0.0004280817,0.0005431977,0.001050041,0.003377089,0.002244889,0.02745112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166539,"about_ca_system_score_gemma":0.005271939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009114166,"about_ca_topic_score_gemma":0.02562756,"domain_scores_codex":[0.9989576,0.0002003462,0.00003542698,0.0001222126,0.0003162611,0.0003681408],"domain_scores_gemma":[0.9983614,0.0001200515,0.0001172431,0.00006316794,0.0005047378,0.0008334444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005276225,0.001111787,0.01692276,0.001153561,0.0000442922,0.0006392751,0.004718985,0.0005339659,0.006344747,0.006371074,0.4609493,0.5006827],"study_design_scores_gemma":[0.00005472193,0.0004659342,0.04627943,0.0008432104,0.00005189404,0.0003613126,0.006831754,0.0005935069,0.002805384,0.00155625,0.940112,0.00004447915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1276392,0.009557307,0.007607236,0.04575014,0.009139572,0.0008830487,0.002462272,0.00244153,0.7945197],"genre_scores_gemma":[0.2355223,0.007223735,0.007007202,0.00682513,0.0008688918,0.0005592911,0.001799603,0.0006105566,0.7395833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1038449,"threshold_uncertainty_score":0.3473957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460806075042248,"score_gpt":0.2637997670199843,"score_spread":0.1177191595157594,"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."}}