{"id":"W4241902990","doi":"10.1515/156939405775199523","title":"Identification problems for nonclassical integro-differential parabolic equations","year":2005,"lang":"en","type":"article","venue":"Journal of Inverse and Ill-Posed Problems","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Overdetermined system; Mathematics; Uniqueness; Kernel (algebra); Convolution (computer science); Type (biology); Mathematical analysis; Operator (biology); Differential equation; Applied mathematics; Pure mathematics; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001707544,0.0003196782,0.0006659137,0.0003319491,0.0002373835,0.0001628055,0.00037513,0.000239982,0.0001504658],"category_scores_gemma":[0.002003045,0.0002538923,0.000329557,0.0003085668,0.0002222972,0.0006875343,0.00008453394,0.0005738469,0.00002965818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576652,"about_ca_system_score_gemma":0.0001342537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008532907,"about_ca_topic_score_gemma":0.00002194787,"domain_scores_codex":[0.9968346,0.0002405154,0.001621284,0.0003303982,0.0005280683,0.0004451417],"domain_scores_gemma":[0.9961356,0.001161172,0.001326282,0.0003240736,0.0007612118,0.0002916418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008006919,0.003211103,0.0003749515,0.002197384,0.00150383,0.00001422456,0.01333663,0.002614584,0.4186288,0.2589609,0.05719113,0.2411658],"study_design_scores_gemma":[0.008487336,0.001724703,0.0001092718,0.001040944,0.001133334,0.00026698,0.001167956,0.1313929,0.03369948,0.6857243,0.1339756,0.001277259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08388118,0.000322346,0.9072239,0.004850224,0.001153591,0.001554702,0.00003346847,0.00009358294,0.0008870268],"genre_scores_gemma":[0.6311917,0.0005171256,0.364219,0.0006329493,0.001695334,0.0001624586,0.0000126491,0.0001187262,0.00145003],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5473105,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08881466581865553,"score_gpt":0.3530255183956849,"score_spread":0.2642108525770293,"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."}}