{"id":"W4378471510","doi":"10.5194/isprs-archives-xlviii-1-w1-2023-151-2023","title":"A PPP-RTK APPROACH TO MASS-MARKET APPLICATIONS","year":2023,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ambiguity resolution; Computer science; Real Time Kinematic; Kinematics; Software deployment; Base station; Ambiguity; Real-time computing; GNSS applications; Telecommunications; Global Positioning System","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001249854,0.0004177655,0.0003998883,0.001237926,0.001151774,0.0007478071,0.001552903,0.0001008097,0.000006872504],"category_scores_gemma":[0.0004243155,0.0002824369,0.0003199624,0.001869242,0.001587878,0.0003754164,0.0006004964,0.0003857261,0.00001038232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005543708,"about_ca_system_score_gemma":0.0001420312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3631092,"about_ca_topic_score_gemma":0.04170641,"domain_scores_codex":[0.9958639,0.0001927817,0.001314925,0.0003862884,0.001677882,0.0005641937],"domain_scores_gemma":[0.9974959,0.0007868673,0.0007418193,0.0005062671,0.0002682153,0.0002009013],"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":[0.00005742864,0.00001321896,0.00009548811,0.00005941357,0.00007725311,1.784783e-7,0.001993541,0.1006584,0.002065658,0.00001992704,0.0002418548,0.8947176],"study_design_scores_gemma":[0.000471805,0.0000727452,0.001759026,0.0001914459,0.00003623146,0.0000594954,0.00159165,0.9777643,0.00400405,0.004327711,0.009397127,0.0003243983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002548883,0.00001996804,0.9662027,0.002344142,0.001343045,0.0009131798,0.0001293365,0.000138792,0.02635996],"genre_scores_gemma":[0.9920858,0.0001896177,0.006518634,0.0007765968,0.000164661,0.000001494755,0.00008157195,0.000019653,0.0001620358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9895369,"threshold_uncertainty_score":0.9999628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617947653628093,"score_gpt":0.2411902873649192,"score_spread":0.2250108108286383,"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."}}