{"id":"W4232828828","doi":"10.31219/osf.io/4da3f","title":"GEOGRAPHYCAL INFORMATION SYSTEM (GIS) BASED EMPLOYEE MAPPING PT ASTRA DAIHATSU MOTOR","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"ASTRA; Task (project management); Computer science; Automotive industry; Compensation (psychology); Engineering; Database; Systems engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001046894,0.0004301331,0.0004699563,0.001185308,0.0001851621,0.0006174133,0.002879711,0.0008337402,0.00002410759],"category_scores_gemma":[0.00008763246,0.0004090172,0.0002691242,0.0005728076,0.0001409683,0.000977522,0.001594266,0.0006210688,0.000719319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002688968,"about_ca_system_score_gemma":0.0003738516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001944147,"about_ca_topic_score_gemma":0.0000101611,"domain_scores_codex":[0.9968122,0.0001461652,0.0009835172,0.0007113309,0.0008858163,0.0004609372],"domain_scores_gemma":[0.9966776,0.0001111077,0.0005139869,0.00200967,0.0005564414,0.0001312029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007876636,0.0003428904,0.1305577,0.01162398,0.001623673,0.00008214846,0.004075661,0.01893235,0.000682476,0.7610658,0.03725938,0.03367519],"study_design_scores_gemma":[0.0008816515,0.0002038652,0.1097051,0.001755881,0.00003517712,0.0000648446,0.0004095136,0.8751934,0.0009361437,0.00280071,0.00653648,0.001477313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03457936,0.00002888009,0.9507729,0.0005986852,0.002715373,0.001022985,0.00003940334,0.002938907,0.007303515],"genre_scores_gemma":[0.8591334,0.000001213049,0.1398514,0.0002542948,0.0002678733,0.000309771,0.00007750473,0.00001724607,0.00008724978],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.856261,"threshold_uncertainty_score":0.9998361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287713554666736,"score_gpt":0.2324364529679533,"score_spread":0.2095593174212859,"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."}}