{"id":"W4390467500","doi":"10.47112/neufmbd.2023.15","title":"Hassas Nokta Konumlama (PPP) Yöntemindeki Hata Kaynaklarının Konum Belirleme Performansı Üzerindeki Etkilerinin İncelenmesi: PPPH Yazılımı Örneği","year":2023,"lang":"tr","type":"article","venue":"Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Necmettin Erbakan Üniversitesi","keywords":"Physics; Gynecology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009594621,0.001116976,0.0008860941,0.0009421046,0.0009578833,0.002842118,0.000806532,0.001168443,0.01131814],"category_scores_gemma":[0.002527341,0.0005144738,0.0008354628,0.001183873,0.0008680741,0.00196751,0.001338781,0.001255954,0.004457181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008875242,"about_ca_system_score_gemma":0.001501502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007232401,"about_ca_topic_score_gemma":0.004900848,"domain_scores_codex":[0.9989331,0.0001073241,0.00006904951,0.0002275638,0.0005091,0.0001537851],"domain_scores_gemma":[0.9982302,0.0003835755,0.0001850874,0.0002558461,0.0008624962,0.00008294627],"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":[0.001449913,0.000169054,0.02256625,0.001861637,0.0002751304,0.001601278,0.001451471,0.04003711,0.1678305,0.02406454,0.02392475,0.7147684],"study_design_scores_gemma":[0.0001733959,0.00153878,0.08701357,0.0007201207,0.0006382922,0.004600291,0.004129914,0.1895442,0.3209118,0.0325862,0.3574859,0.0006574851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2109135,0.005756058,0.674952,0.002215439,0.001718398,0.0003718135,0.002338819,0.008244406,0.09348955],"genre_scores_gemma":[0.8000023,0.004253398,0.1318816,0.0005591167,0.0005076356,0.0002452958,0.002490788,0.001077652,0.05898204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01131814,"threshold_uncertainty_score":0.03786296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796758275450279,"score_gpt":0.2213988518211309,"score_spread":0.2034312690666281,"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."}}