{"id":"W4393358973","doi":"10.3386/w32245","title":"Spillovers and Spillbacks","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008971663,0.0007315459,0.0009150748,0.0008231378,0.0006399058,0.001898494,0.0007528565,0.00121167,0.01120252],"category_scores_gemma":[0.005454313,0.0004844285,0.0009400455,0.0006969483,0.00132124,0.004251576,0.002531011,0.001671602,0.0003434242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404446,"about_ca_system_score_gemma":0.0009892908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007104816,"about_ca_topic_score_gemma":0.003197116,"domain_scores_codex":[0.9996139,0.0001069695,0.00001964425,0.000066055,0.0000731333,0.0001201845],"domain_scores_gemma":[0.9980168,0.0009269988,0.0005582071,0.0001919329,0.0001303343,0.0001757055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000139506,0.0001226671,0.003973845,0.000127612,0.00008321262,0.0009391278,0.0001933595,0.6107273,0.0009086086,0.3696429,0.002218951,0.01092289],"study_design_scores_gemma":[0.00009690378,0.0001493449,0.002750545,0.00006798995,0.0001124891,0.0001963941,0.0004671119,0.6826811,0.001024408,0.3083186,0.004080243,0.00005479326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7576169,0.002304928,0.1519609,0.005073487,0.0002259114,0.0001362022,0.0008435379,0.0005378134,0.08130047],"genre_scores_gemma":[0.989445,0.0006243663,0.001792786,0.0001439041,0.00003656086,0.0000257781,0.00006040342,0.00001855845,0.007852537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01120252,"threshold_uncertainty_score":0.03747612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2925971140591595,"score_gpt":0.5164514220770194,"score_spread":0.2238543080178599,"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."}}