{"id":"W2316975283","doi":"10.4133/sageep2013-137.1","title":"CROSS-HOLE RADIO IMAGING STUDY, MACLENNAN TOWNSHIP","year":2013,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2013","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002240905,0.000571785,0.0003037465,0.001761383,0.002285338,0.000794476,0.001560652,0.0004656083,0.002928092],"category_scores_gemma":[0.0004933068,0.0004466525,0.0002211307,0.001273402,0.001012806,0.0003429585,0.0009872881,0.0005046456,0.0008863608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00342725,"about_ca_system_score_gemma":0.002559451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3590676,"about_ca_topic_score_gemma":0.7431154,"domain_scores_codex":[0.9996731,0.00002799563,0.000007372972,0.00011155,0.00009483759,0.00008510069],"domain_scores_gemma":[0.9995808,0.00002751866,0.00005617715,0.00003658189,0.0001297209,0.0001691666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004095405,0.001432126,0.8551548,0.0002331365,0.0001134399,0.04395003,0.03350626,0.0005788562,0.02813708,0.0009671499,0.004020776,0.03149673],"study_design_scores_gemma":[0.00001226795,0.0004651597,0.9685341,0.00002955236,0.00002327955,0.003838067,0.01658193,0.0002697753,0.001081469,0.0000584204,0.009081361,0.00002466307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948955,0.0001050532,0.0002083516,0.0001021584,0.00000798599,0.000114204,0.0004768014,0.00001821982,0.00407168],"genre_scores_gemma":[0.9837837,0.0002777376,0.000941434,0.0001590875,0.0000176213,0.0001059936,0.0007307056,0.00002413055,0.01395977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6409324,"threshold_uncertainty_score":0.7139551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004196559658820784,"score_gpt":0.1778922435888568,"score_spread":0.173695683930036,"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."}}