{"id":"W3166915085","doi":"10.29128/geomatik.882843","title":"İnternet tabanlı GNSS yazılımlarının doğruluk açısından değerlendirilmesi","year":2021,"lang":"tr","type":"article","venue":"Geomatik","topic":"GNSS positioning and interference","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GNSS applications; Computer science; Global Positioning System; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.001097975,0.001215906,0.0008337923,0.002131479,0.001354226,0.003924756,0.000685139,0.00127486,0.03952928],"category_scores_gemma":[0.003129037,0.0004151021,0.0006518551,0.003061424,0.0009278362,0.002804149,0.001364668,0.001317076,0.01463129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716613,"about_ca_system_score_gemma":0.001825028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0136725,"about_ca_topic_score_gemma":0.01007258,"domain_scores_codex":[0.9985833,0.0001877762,0.00008865689,0.0002704255,0.000677194,0.0001926024],"domain_scores_gemma":[0.997282,0.0004410175,0.0003638292,0.0003506397,0.00145316,0.0001094337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001295646,0.0002228672,0.05192503,0.00217287,0.0002610828,0.002099505,0.00134236,0.01807593,0.03297185,0.03631444,0.1229491,0.7303694],"study_design_scores_gemma":[0.00009617265,0.0004519223,0.09447254,0.0008887288,0.0003165338,0.002687777,0.003455348,0.02702949,0.04232807,0.0193299,0.8085717,0.0003717979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.285521,0.01591385,0.1756413,0.008266051,0.002980691,0.0008542311,0.01818882,0.01626593,0.4763683],"genre_scores_gemma":[0.7990918,0.01364508,0.04438938,0.00132821,0.000695135,0.0003430967,0.01666844,0.001713722,0.1221252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03952928,"threshold_uncertainty_score":0.1322387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009326290739986363,"score_gpt":0.2085439782703938,"score_spread":0.1992176875304074,"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."}}