{"id":"W4412434885","doi":"10.1016/j.asoc.2025.113580","title":"Human-AI interaction: Machine learning-based geostatistical hybrid models","year":2025,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada); University of Alberta","funders":"University of Alberta","keywords":"Computer science; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003863374,0.0002137465,0.0003097756,0.0001824817,0.0007191445,0.0003700162,0.000594682,0.0000469722,0.00003544451],"category_scores_gemma":[0.00004040307,0.0002166938,0.0001094967,0.0004946754,0.00005689649,0.0001772588,0.0004658374,0.0004966352,0.00003295876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006302263,"about_ca_system_score_gemma":0.00006029371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007370817,"about_ca_topic_score_gemma":0.000008409457,"domain_scores_codex":[0.9983121,0.0000528221,0.0004440784,0.0005620391,0.0002366414,0.0003922963],"domain_scores_gemma":[0.9989918,0.0002863643,0.0001612222,0.0003846636,0.00009656111,0.00007940057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008563658,0.00005805547,0.0001588352,0.0000331398,0.00005274524,0.00001426257,0.000130688,0.6342426,0.0001409,0.2554005,0.0005776422,0.1091821],"study_design_scores_gemma":[0.000339542,0.00002840346,0.0000923773,0.00004276572,0.00001991721,0.00000482151,0.0000278122,0.9852348,0.000271028,0.01080699,0.002929924,0.0002016158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003631841,0.00006113064,0.9853339,0.0004847544,0.000171055,0.0001050519,0.000001485896,0.0004031276,0.009807629],"genre_scores_gemma":[0.9498212,4.751134e-7,0.04874207,0.001075651,0.00006321648,0.000005219985,0.00002204945,0.0000128238,0.0002572907],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9461893,"threshold_uncertainty_score":0.8836518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450818924736487,"score_gpt":0.2647733395211783,"score_spread":0.2502651502738135,"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."}}