{"id":"W4252428567","doi":"10.31227/osf.io/t7pds","title":"PENGARUH GEOMETRI JARINGAN TERHADAP KETELITIAN SURVEY GPS","year":2018,"lang":"id","type":"preprint","venue":"","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics","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":[0.001074467,0.0007785006,0.0008690274,0.001171909,0.001205679,0.00323354,0.0007514055,0.0007883034,0.03193382],"category_scores_gemma":[0.002812541,0.0006296503,0.0006729795,0.002297342,0.0005878396,0.002543793,0.002685006,0.00117053,0.01313198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147472,"about_ca_system_score_gemma":0.0020819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147556,"about_ca_topic_score_gemma":0.01564275,"domain_scores_codex":[0.9983381,0.0002439044,0.00007964599,0.0003696619,0.0007377879,0.0002309317],"domain_scores_gemma":[0.9984136,0.000317676,0.00009527645,0.0004054173,0.0006456864,0.0001222715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008881713,0.0001831617,0.08891659,0.001146434,0.0002141181,0.0005809176,0.004356693,0.02248724,0.03837512,0.02079432,0.05908888,0.7629682],"study_design_scores_gemma":[0.0001853307,0.0007639554,0.2105,0.0004018627,0.0003130639,0.001326962,0.008959355,0.03433806,0.02337499,0.02155068,0.6978908,0.0003948736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3153454,0.002365162,0.3092247,0.0050213,0.001006905,0.0007839114,0.01514683,0.01496826,0.3361376],"genre_scores_gemma":[0.7872897,0.001894812,0.07797433,0.000516435,0.0002722322,0.0004642885,0.007807316,0.001584381,0.1221965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03193382,"threshold_uncertainty_score":0.1068292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0483431765028733,"score_gpt":0.257386697317797,"score_spread":0.2090435208149237,"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."}}