{"id":"W4405673176","doi":"10.1007/978-3-031-76906-1_10","title":"Quantum Computational Paradigms in Spatial Analytics: Advancing Environmental and Resource Econometrics","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Spatial econometrics; Analytics; Computer science; Data science; Resource (disambiguation); Econometrics; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001682645,0.0007814428,0.001027922,0.001229059,0.000640988,0.004309961,0.001717462,0.001673763,0.008622702],"category_scores_gemma":[0.006718081,0.0007076898,0.0008014487,0.003675043,0.004083576,0.007494738,0.001761712,0.003832183,0.001577017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784013,"about_ca_system_score_gemma":0.001641152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004653266,"about_ca_topic_score_gemma":0.005407162,"domain_scores_codex":[0.999288,0.0002792921,0.00003458594,0.00009247094,0.000270378,0.00003524556],"domain_scores_gemma":[0.9963469,0.002847265,0.0001316897,0.0003076718,0.0002786943,0.00008788286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002338321,0.000008840897,0.00006583196,0.0000396491,0.0000071946,0.000008758747,0.00003890622,0.005903844,0.00009901983,0.9729586,0.005470898,0.01539599],"study_design_scores_gemma":[9.049658e-7,0.000001502453,0.00004084427,0.00001292683,0.000002310861,0.000008125258,0.0000173238,0.02267987,0.0000456005,0.968501,0.008685543,0.000004177315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002458049,0.01142119,0.926966,0.00822232,0.0006502341,0.00002456479,0.0002297676,0.0003697569,0.04965821],"genre_scores_gemma":[0.3197205,0.04557963,0.5762947,0.002918935,0.003170142,0.0001907653,0.0004989353,0.0009416642,0.05068472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008622702,"threshold_uncertainty_score":0.02884585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509669672587459,"score_gpt":0.2248041273337012,"score_spread":0.1997074306078266,"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."}}