{"id":"W4239354198","doi":"10.4095/296312","title":"3D stochastic inversion of potential field data using structural geologic constraints","year":2014,"lang":"en","type":"report","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Inversion (geology); Geology; Potential field; Field (mathematics); Computer science; Geophysics; Geomorphology; 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":[0.0005532784,0.0002164789,0.0005396944,0.0001441478,0.0001073192,0.0000267965,0.0006427474,0.0003720226,0.0156336],"category_scores_gemma":[0.0005411293,0.0001426679,0.0001249731,0.0001257532,0.0001877379,0.00007392927,0.0001211084,0.000308959,0.00005250822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003904337,"about_ca_system_score_gemma":0.0002372277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03108961,"about_ca_topic_score_gemma":0.0020977,"domain_scores_codex":[0.9980666,0.00008443873,0.0004441334,0.0005177857,0.0006085,0.0002785316],"domain_scores_gemma":[0.998673,0.0001564703,0.0003284411,0.0005659575,0.0001702797,0.0001058821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003532641,0.00001058514,0.04934069,0.0001737987,0.0002390908,0.00004220387,0.00001185793,0.7663853,0.000009687409,0.000003219681,0.003682947,0.1800653],"study_design_scores_gemma":[0.00008936292,0.0000921533,0.002579373,0.00005285154,0.0002623963,0.00005962449,0.0000235556,0.9961399,0.000001782386,0.00026082,0.0002329007,0.0002052957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5108989,0.001735638,0.4316711,0.0004646764,0.004842514,0.0004705483,0.001820787,0.000175333,0.04792041],"genre_scores_gemma":[0.992779,0.00008802573,0.00410252,0.00009434798,0.0002945418,4.95616e-8,0.00233951,0.000002330229,0.0002996892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.48188,"threshold_uncertainty_score":0.9852663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08583698479632278,"score_gpt":0.2822568774034681,"score_spread":0.1964198926071453,"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."}}