{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032374,0.0001877608,0.0003523258,0.0008853114,0.00002808581,0.0001069866,0.0002044005,0.0003386113,0.0001775982],"category_scores_gemma":[0.0005032101,0.0001960068,0.0001040341,0.0001656619,0.000082281,0.0001307241,0.00008749447,0.0007863959,0.0001081047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009495733,"about_ca_system_score_gemma":0.0005999169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001075685,"about_ca_topic_score_gemma":0.00001219734,"domain_scores_codex":[0.9980051,0.00004437652,0.0004435656,0.0002934687,0.0009456932,0.0002677964],"domain_scores_gemma":[0.9985469,0.0006285009,0.0000350327,0.0002052412,0.0004816183,0.0001027278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007359311,0.000007173781,0.00007945465,0.001367232,0.000312777,0.000008644042,0.00004120106,0.8177651,0.0002853699,0.08127853,0.0958,0.003047137],"study_design_scores_gemma":[0.0004787762,0.00007474124,0.0002588708,0.0005046179,0.00003377565,0.00004281127,0.00003309994,0.2995843,0.000942246,0.2277696,0.4696722,0.0006049821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01273928,0.007281826,0.0002122298,0.0001372256,0.001578265,0.0002760726,0.0001094663,0.0001339713,0.9775317],"genre_scores_gemma":[0.9559573,0.009611033,0.004051272,0.000005001258,0.001656746,0.00007753007,0.0002925514,0.0002223674,0.02812619],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9494055,"threshold_uncertainty_score":0.7992927,"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."}}