{"id":"W1984474960","doi":"10.1190/1.2816650","title":"Constructing piecewise-constant models in multidimensional minimum-structure inversions","year":2007,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":243,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. John’s Health Sciences Centre; Memorial University of Newfoundland","funders":"University of British Columbia","keywords":"Piecewise; Inversion (geology); Measure (data warehouse); Diagonal; Algorithm; Synthetic data; Mathematics; Applied mathematics; Computer science; Geometry; Geology; Mathematical analysis; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002640987,0.0001939585,0.0002649038,0.0001070582,0.0001386096,0.00001977656,0.0001644837,0.0001155628,0.0003443538],"category_scores_gemma":[0.00006775073,0.0001608981,0.00008710204,0.000746194,0.0001490382,0.0002234201,0.00002511052,0.0004000948,0.0001176104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001257712,"about_ca_system_score_gemma":0.00006474108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244143,"about_ca_topic_score_gemma":0.001163854,"domain_scores_codex":[0.9983461,0.00007254974,0.0003069637,0.0003479734,0.0003214597,0.0006049101],"domain_scores_gemma":[0.9988102,0.000660488,0.00008454495,0.000176208,0.00005715112,0.0002114477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000183389,0.00009476997,0.06555765,0.00002823441,0.00003205774,0.0001199891,0.0005256066,0.00635799,0.002163256,0.02523131,0.000167344,0.8995384],"study_design_scores_gemma":[0.001574886,0.0002533644,0.3575276,0.00006627861,0.00003671684,0.00004862956,0.001217363,0.1396707,0.003884682,0.4941387,0.0006665905,0.0009144893],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888784,0.00008274054,0.001915057,0.0001256114,0.0003677873,0.0001473991,0.00008976201,0.00004322022,0.008350036],"genre_scores_gemma":[0.9786102,0.000004297166,0.02071973,0.0003480892,0.000166255,3.305696e-7,0.00006642658,0.000004262243,0.00008040277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8986239,"threshold_uncertainty_score":0.6561233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745544240385753,"score_gpt":0.2318093534475871,"score_spread":0.2143539110437296,"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."}}