{"id":"W6902136363","doi":"10.6084/m9.figshare.14950935.v1","title":"Xforce Keygen Vehicle Tracking 2019","year":2021,"lang":"fa","type":"article","venue":"Figshare","topic":"Robotic Process Automation Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tracking (education); Vehicle tracking system; Object (grammar); Video tracking; Intersection (aeronautics); Product (mathematics); Visual Basic for Applications; BitTorrent tracker","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007711595,0.00158707,0.000927415,0.001409996,0.001801849,0.004762745,0.001871071,0.002643602,0.7804251],"category_scores_gemma":[0.002255179,0.0005135833,0.0006820393,0.001126702,0.0006115227,0.004920694,0.004086218,0.001696574,0.8130847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279395,"about_ca_system_score_gemma":0.001660553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01016977,"about_ca_topic_score_gemma":0.01107896,"domain_scores_codex":[0.9994484,0.00004219461,0.00001940981,0.0001376203,0.0002398814,0.0001125291],"domain_scores_gemma":[0.9989703,0.00005185357,0.00003278639,0.0002576352,0.0004910632,0.000196371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009868444,0.00002133244,0.0002251453,0.00008901292,0.000005744731,0.00005344834,0.00003642719,0.0003007061,0.000534304,0.002873723,0.9355302,0.06023124],"study_design_scores_gemma":[0.00001723835,0.00002167101,0.0002178269,0.00004603224,0.000003440864,0.00003317381,0.00004386127,0.000726527,0.0005721202,0.001180072,0.9971274,0.00001058862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009527448,0.0003949919,0.01108282,0.001719839,0.0027193,0.0002736421,0.01758498,0.03241333,0.9328584],"genre_scores_gemma":[0.008401097,0.0004827768,0.003973904,0.0007052587,0.0002979775,0.0001653083,0.02688815,0.008215683,0.9508699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2195749,"threshold_uncertainty_score":0.313197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066406429977299,"score_gpt":0.2536756353700526,"score_spread":0.2230115710702796,"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."}}