{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001413048,0.0006750675,0.0006157761,0.0007464816,0.0003990497,0.001394839,0.001347238,0.001123214,0.001601682],"category_scores_gemma":[0.003918202,0.0003705383,0.0006872831,0.0007636859,0.0005739007,0.00119394,0.001110143,0.0009158424,0.0003554354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009103592,"about_ca_system_score_gemma":0.0007342576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102229,"about_ca_topic_score_gemma":0.007707545,"domain_scores_codex":[0.9994294,0.0002481838,0.00002059502,0.0001259465,0.0001379403,0.00003786892],"domain_scores_gemma":[0.9983583,0.001131747,0.0001355434,0.0001031677,0.0002184605,0.00005271755],"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":[0.00003563441,0.0000533374,0.002511788,0.00003113066,0.0000814065,0.00004517967,0.00008533736,0.9588318,0.0005573039,0.00543452,0.0006589787,0.03167355],"study_design_scores_gemma":[0.000001409479,0.000007317396,0.0001726798,0.00000211759,0.000003791544,0.000005864611,0.00000609261,0.99829,0.00006422929,0.001237187,0.0002059652,0.000003365682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07114881,0.0007635507,0.9184443,0.0009071139,0.000104871,0.00007973161,0.0001648494,0.001084942,0.00730175],"genre_scores_gemma":[0.8984929,0.0004077053,0.09600595,0.0002260269,0.0000994703,0.0001782125,0.0001982957,0.0001004674,0.004290878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01102229,"threshold_uncertainty_score":0.02191627,"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."}}