{"id":"W3122888768","doi":"","title":"A Dynamic Game of Emissions Pollution with Uncertainty and Learning","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Benchmark (surveying); Distribution (mathematics); Environmental economics; Economics; Environmental science; Econometrics; Computer science; Mathematics; Geography","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":[0.001750856,0.0005899635,0.001198525,0.0003876396,0.0007666909,0.003171804,0.001182189,0.003336201,0.01590066],"category_scores_gemma":[0.007826079,0.0003450892,0.0007258204,0.0007364749,0.002158622,0.003272626,0.001055771,0.002645146,0.00050416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00378524,"about_ca_system_score_gemma":0.001688956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004601263,"about_ca_topic_score_gemma":0.002654247,"domain_scores_codex":[0.9986764,0.0006485514,0.00007433219,0.0002585231,0.0002263477,0.0001159199],"domain_scores_gemma":[0.995269,0.003728114,0.000297765,0.000124767,0.0002670329,0.0003131909],"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":[0.000176943,0.00006777496,0.0006251489,0.0002250766,0.00009269147,0.0006492673,0.0002486416,0.1619031,0.001117001,0.8028837,0.01998129,0.01202936],"study_design_scores_gemma":[0.00008465019,0.00003574603,0.0006141178,0.00003967841,0.00002180544,0.00009799658,0.0001040818,0.182366,0.0001400038,0.803677,0.01277311,0.00004571751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1977111,0.005920144,0.3644781,0.1140986,0.004371148,0.0002552082,0.002340184,0.0003708508,0.3104547],"genre_scores_gemma":[0.9277979,0.002390385,0.01170987,0.001431965,0.001364175,0.0001172864,0.0003730292,0.00008219268,0.05473318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01590066,"threshold_uncertainty_score":0.05319303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03758673357435343,"score_gpt":0.3502064330854952,"score_spread":0.3126196995111418,"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."}}