{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000711233,0.00007454969,0.00007794124,0.0009147802,0.0004073228,0.0002847416,0.0001116452,0.0001026634,0.0008175105],"category_scores_gemma":[0.0002018421,0.00007670963,0.00005034333,0.001109845,0.0001636428,0.0001596496,0.0003334387,0.00008471849,0.0001133348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002531137,"about_ca_system_score_gemma":0.0002794594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02097766,"about_ca_topic_score_gemma":0.05624613,"domain_scores_codex":[0.9999385,0.00001226424,0.00000350486,0.00001541261,0.00001736748,0.00001302951],"domain_scores_gemma":[0.9998993,0.00001825211,0.00002694386,0.000006980717,0.00003692133,0.00001158803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000108463,0.00008169796,0.888879,0.00008652378,0.00002366187,0.001035593,0.003983969,0.005098204,0.01347088,0.0006949594,0.001918549,0.08461858],"study_design_scores_gemma":[0.000004835009,0.00006002643,0.9770488,0.00001800024,0.00001162775,0.0005571796,0.007072883,0.0076112,0.001669249,0.0002012881,0.00573679,0.00000813163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997776,0.00004174505,0.0006529554,0.00004057576,0.000001012991,0.0000106329,0.0002887405,0.00001969816,0.001168667],"genre_scores_gemma":[0.9968778,0.00007732472,0.001975392,0.00001142378,0.000003007689,0.00001262235,0.0005444293,0.000003455078,0.0004945474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02097766,"threshold_uncertainty_score":0.04171109,"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."}}