{"id":"W4417316549","doi":"10.5194/ica-abs-10-210-2025","title":"HOPE - High-resolution Operational Population Estimation with GNN","year":2025,"lang":"en","type":"article","venue":"Abstracts of the ICA","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"European Space Agency","keywords":"Estimation; Population; Term (time); Identification (biology)","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":[0.00007787138,0.00006638184,0.00006934813,0.00003995494,0.0001700219,0.0000365182,0.0004388027,0.00003039404,0.000002609423],"category_scores_gemma":[0.00004072398,0.00004597932,0.00002151428,0.0003793577,0.00003640208,0.0004120713,0.00009288276,0.00007892431,0.000007026085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003822711,"about_ca_system_score_gemma":0.00004364144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001513,"about_ca_topic_score_gemma":0.00003599825,"domain_scores_codex":[0.9993472,0.00002107054,0.0001906557,0.000165217,0.0001825716,0.00009335774],"domain_scores_gemma":[0.9992546,0.00008219273,0.0001360873,0.0004334123,0.00007570315,0.00001794983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000007828451,0.00005012125,0.0004724273,0.000007652479,0.00001014788,1.871994e-7,0.00002477835,0.7113521,0.001446118,0.2664712,0.000841853,0.01931563],"study_design_scores_gemma":[0.0002490639,0.00002805876,0.7272925,0.00006267485,0.00001338227,0.000003991406,0.000002542978,0.2187454,0.007548971,0.04517065,0.0007795073,0.0001032567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2092156,0.00003581355,0.7754362,0.01297253,0.0002123808,0.0004170048,0.000003848264,0.00009936964,0.001607307],"genre_scores_gemma":[0.8966383,0.000002267543,0.1028917,0.0002265411,0.00001763618,0.00001211847,0.0000105565,0.000002853205,0.0001979926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7268201,"threshold_uncertainty_score":0.1874982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007684798541313431,"score_gpt":0.2469246379555469,"score_spread":0.2392398394142335,"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."}}