{"id":"W2045486079","doi":"10.1144/sp384.12","title":"Ground penetrating radar use in three contrasting soil textures in southern Ontario","year":2013,"lang":"en","type":"article","venue":"Geological Society London Special Publications","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Ontario Tech University","funders":"","keywords":"Ground-penetrating radar; Geology; Radar; Remote sensing; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002417613,0.0002117044,0.0002784751,0.00005138777,0.0001630023,0.0002549189,0.0002943191,0.0002225056,0.0009986663],"category_scores_gemma":[0.0001626131,0.0001925054,0.0001555488,0.0006331591,0.0001289297,0.0003993957,0.00007896987,0.0006649734,0.0001753579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162997,"about_ca_system_score_gemma":0.00004520809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03130089,"about_ca_topic_score_gemma":0.1526401,"domain_scores_codex":[0.9984264,0.00004716617,0.0004744027,0.0003536753,0.0001811708,0.0005171457],"domain_scores_gemma":[0.9989931,0.0004466447,0.00006377414,0.0002814906,0.00008551865,0.0001294888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001168291,0.001153071,0.7641757,0.00006581897,0.0001231921,0.00000381238,0.008577832,0.007156374,0.03342384,0.1234739,0.008842376,0.05299248],"study_design_scores_gemma":[0.0003643101,0.00001388949,0.9656793,0.00001085005,0.000005854628,0.000001181649,0.0005105099,0.003592846,0.00001060271,0.02641112,0.003158636,0.000240878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887084,0.0000422927,0.003564104,0.001091148,0.00007588531,0.000590347,0.00001306948,0.0002132232,0.005701526],"genre_scores_gemma":[0.9764868,0.00001070101,0.02134439,0.0002309854,0.0006055267,0.0005114755,0.00005343037,0.00002253302,0.0007341292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2015037,"threshold_uncertainty_score":0.9999145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856904404621327,"score_gpt":0.2305099436648891,"score_spread":0.2019408996186758,"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."}}