{"id":"W1633682762","doi":"","title":"Geophysical Analysis of an Urban Region in Southwestern Pennsylvania","year":2006,"lang":"en","type":"article","venue":"AGUFM","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Geophysical survey; Geological survey; Reflection (computer programming); Seismology; Data processing; Raw data; Geophysics; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001120011,0.0000942628,0.0002811039,0.0001798855,0.00002751262,0.00001523729,0.0001534697,0.00005205688,0.0001902585],"category_scores_gemma":[0.00001699787,0.00007360888,0.0001471839,0.001392771,0.000046839,0.0001157669,0.0000059882,0.00009952579,0.0000658881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001946063,"about_ca_system_score_gemma":0.00001018932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03455414,"about_ca_topic_score_gemma":0.01180622,"domain_scores_codex":[0.9990217,0.0001278305,0.0002089712,0.0002351836,0.000174201,0.000232133],"domain_scores_gemma":[0.9995152,0.0001480705,0.00006318431,0.0001824858,0.00002085822,0.00007017051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005203894,0.0001687272,0.8894266,0.000006705744,0.00005639754,0.00003170461,0.00009287242,0.01042646,0.0001953767,0.0003990534,0.00002658579,0.09911746],"study_design_scores_gemma":[0.0001163789,0.0001471284,0.9446861,0.0000023276,0.00009959067,6.614006e-7,0.00001050934,0.05068837,0.0001121188,0.003888413,0.0001534486,0.00009493153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975504,0.00005960433,0.0001430066,0.00005117319,0.00003458878,0.00004959887,0.00001218858,0.00001727486,0.002082218],"genre_scores_gemma":[0.9989439,0.000001356062,0.0004893175,0.00005251528,0.0000973386,4.953245e-7,0.00009453297,0.000001733336,0.0003187846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09902252,"threshold_uncertainty_score":0.9718748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191168055482322,"score_gpt":0.2258866871326047,"score_spread":0.2139750065777814,"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."}}