{"id":"W6996890257","doi":"","title":"Technique de rÃ©solution du problÃ¨me inverse de source Ã  partir de mesures scalaires en champ proche, application Ã  la dosimÃ©trie micro-onde","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Inverse problem; Field (mathematics); Stability (learning theory); Inverse; Measure (data warehouse)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007928122,0.001242546,0.0008858011,0.0006076646,0.0007538843,0.001128526,0.0009210864,0.0009988825,0.01636922],"category_scores_gemma":[0.002287335,0.0005201988,0.0009792225,0.0005006047,0.0010813,0.0007406013,0.0009826111,0.001740255,0.005209892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007511549,"about_ca_system_score_gemma":0.00114598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008020685,"about_ca_topic_score_gemma":0.009751895,"domain_scores_codex":[0.9994492,0.00008578059,0.00002572468,0.00009218532,0.0003091898,0.00003796789],"domain_scores_gemma":[0.9992684,0.0002629499,0.00004681086,0.0001544718,0.0002444932,0.00002301218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003968289,0.0001237799,0.001298575,0.0005515027,0.0001849587,0.0005315039,0.0008660587,0.1310772,0.1530177,0.08805766,0.01748989,0.6064044],"study_design_scores_gemma":[0.00007578726,0.0001364287,0.0008967801,0.00005420994,0.00006273393,0.0004913163,0.0001560494,0.7878255,0.1218159,0.01798898,0.07043849,0.00005773107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006002825,0.0001090323,0.9861158,0.0001358043,0.0001258735,0.00003008125,0.00006792531,0.001910458,0.005502254],"genre_scores_gemma":[0.1182164,0.0002533104,0.828729,0.0001260546,0.00009744941,0.0001100074,0.0003017545,0.002843902,0.04932225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01636922,"threshold_uncertainty_score":0.05476052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001914632093343116,"score_gpt":0.1564985374707857,"score_spread":0.1545839053774426,"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."}}