{"id":"W2922503731","doi":"10.2113/jeeg23.4.469","title":"The Warr Machine: System Design, Implementation and Data","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada","funders":"","keywords":"Ground-penetrating radar; Offset (computer science); Geology; Software deployment; Computer science; Data processing; Transmitter; Remote sensing; Radar; Telecommunications; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.0001638567,0.00008788629,0.00009595494,0.00001436911,0.00009415565,0.00003577978,0.0001286103,0.00001776643,0.000002107812],"category_scores_gemma":[0.000002506743,0.00006271038,0.00001634668,0.00003320961,0.00004327253,0.0001325046,0.00006655962,0.00009513796,0.000004349527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001981748,"about_ca_system_score_gemma":0.000002152404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002308294,"about_ca_topic_score_gemma":2.795699e-7,"domain_scores_codex":[0.9995493,0.00001035837,0.0001690172,0.00007151689,0.00009003525,0.0001097436],"domain_scores_gemma":[0.9996669,0.0000738152,0.00004249702,0.0001510726,0.000005133124,0.00006062901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001975958,0.00004277575,0.0003023731,0.0001426272,0.000245053,0.000005703488,0.0003419385,0.0009483198,0.7514029,0.003480031,0.0005898807,0.2424787],"study_design_scores_gemma":[0.002308295,0.001029719,0.6276892,0.0002042435,0.0004999277,0.0004458922,0.00366283,0.2989021,0.01226586,0.002497496,0.04928622,0.001208269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504014,0.001243534,0.04782245,0.00007103947,0.000253171,0.0001088354,0.00004021978,0.00003191032,0.00002750242],"genre_scores_gemma":[0.9918374,0.0003923874,0.007472917,0.000005275059,0.0002674227,0.000002552101,0.000003107019,0.00001398223,0.000004936435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.739137,"threshold_uncertainty_score":0.2557255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230095151393533,"score_gpt":0.2361956636891027,"score_spread":0.2238947121751674,"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."}}