{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003949762,0.0004221438,0.0002397756,0.001549566,0.0005185402,0.001731146,0.0004307515,0.0003254194,0.02631763],"category_scores_gemma":[0.001219465,0.0002071261,0.0002366977,0.002325955,0.0002049182,0.0009947503,0.001279151,0.0003049512,0.01102364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000808837,"about_ca_system_score_gemma":0.001985686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01640976,"about_ca_topic_score_gemma":0.01066237,"domain_scores_codex":[0.9995208,0.00008058625,0.00003635981,0.0001335163,0.0001649712,0.0000638014],"domain_scores_gemma":[0.9990262,0.0001088346,0.00007099826,0.0002705883,0.0004259221,0.00009756463],"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":[0.000521066,0.0001943918,0.04248127,0.0005777308,0.00005470558,0.0005672053,0.002269543,0.004333052,0.01796922,0.01691877,0.2133173,0.7007957],"study_design_scores_gemma":[0.00009252836,0.0001781814,0.06610582,0.000182173,0.00007919769,0.0005866758,0.003850396,0.03246074,0.03584814,0.005713624,0.8548177,0.00008475993],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2935657,0.001077151,0.1950347,0.003034537,0.0005526819,0.001405107,0.05828929,0.07588992,0.371151],"genre_scores_gemma":[0.6775001,0.001003022,0.136948,0.0002432592,0.0001047842,0.000588938,0.04952512,0.001347559,0.1327394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02631763,"threshold_uncertainty_score":0.08804125,"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."}}