{"id":"W2055875950","doi":"10.1190/geo2013-0130.1","title":"Evaluating the utility of gravity gradient tensor components","year":2013,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Tensor (intrinsic definition); Interpretation (philosophy); Jacobian matrix and determinant; Matrix (chemical analysis); Mathematics; Ranking (information retrieval); Inverse; Type (biology); Combinatorics; Pure mathematics; Computer science; Geometry; Information retrieval; Applied mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000335499,0.0001153754,0.0001993123,0.00001486716,0.0001604387,0.00002526749,0.000267933,0.00003261282,0.0009289366],"category_scores_gemma":[0.0001052778,0.00006550227,0.0001093547,0.0003368196,0.0001398005,0.00009683934,0.00002291285,0.0001743448,0.0005984913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001246958,"about_ca_system_score_gemma":0.00001623725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007961034,"about_ca_topic_score_gemma":0.00003292585,"domain_scores_codex":[0.9986797,0.0002514687,0.0002115907,0.0002016744,0.0003552109,0.0003003846],"domain_scores_gemma":[0.9989278,0.0004855795,0.0001044547,0.0002825045,0.0001091133,0.00009056126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002218073,0.00009046568,0.04136407,0.00002171739,0.00002153046,4.551758e-7,0.0001373879,0.0001546646,0.001485445,0.0002122031,0.0002609796,0.9562289],"study_design_scores_gemma":[0.00008978202,0.0001934415,0.8605828,0.000003971972,0.0000137707,6.141267e-7,0.00001906042,0.06327061,0.000343592,0.07529851,0.0001077781,0.00007600886],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972391,0.00005539488,0.0001352519,0.0002740043,0.0001742719,0.0002594362,0.00002043831,0.00001955565,0.001822583],"genre_scores_gemma":[0.9979829,0.000002894786,0.001585721,0.0001564793,0.0000930068,0.000003341875,0.0000208376,0.000001879917,0.0001529163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9561529,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07307490561870388,"score_gpt":0.3015234507250418,"score_spread":0.2284485451063379,"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."}}