{"id":"W2589191930","doi":"10.1088/1361-6420/33/3/035012","title":"Reconstructing material properties by deconvolution of full-field measurement images: The conductivity case","year":2017,"lang":"en","type":"article","venue":"Inverse Problems","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint-Gobain (Canada)","funders":"","keywords":"Deconvolution; Mathematics; Conductivity; Field (mathematics); Mathematical analysis; Statistics; Pure mathematics; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.003036781,0.0002739777,0.0004400839,0.0000502822,0.0007671019,0.000187258,0.0005792403,0.0001584478,0.000225378],"category_scores_gemma":[0.004628507,0.0001907406,0.0001367284,0.00006811196,0.0007116075,0.0005201327,0.0003300562,0.0003421574,0.00001960589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466965,"about_ca_system_score_gemma":0.00009380651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017957,"about_ca_topic_score_gemma":0.0001756158,"domain_scores_codex":[0.9976245,0.0004089443,0.0006841288,0.0003956471,0.0004819414,0.0004048039],"domain_scores_gemma":[0.9971096,0.000296771,0.001023087,0.001133207,0.0003426066,0.00009475971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001820314,0.000243422,0.001104323,0.001109704,0.0002829833,0.00005298865,0.001864744,0.0000148951,0.9567748,0.003256435,0.01528253,0.01983114],"study_design_scores_gemma":[0.001388651,0.0003221614,0.000006530312,0.0006466864,0.0002467584,0.001386361,0.002285285,0.002391185,0.8298057,0.158368,0.002512586,0.0006400654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676465,0.0001831437,0.0192982,0.001683617,0.002826978,0.001925833,0.00007095658,0.0001964171,0.00616832],"genre_scores_gemma":[0.9336055,0.00002539599,0.0658423,0.00007159785,0.0001329156,0.0001425232,8.937031e-7,0.00004328747,0.0001356179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1551116,"threshold_uncertainty_score":0.7778177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2243852560970456,"score_gpt":0.3421443711144507,"score_spread":0.1177591150174051,"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."}}