{"id":"W2041995523","doi":"10.1139/x03-083","title":"Information technology and the newsprint demand in Western Europe: a Bayesian approach","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Institute for Applied Systems Analysis; Norges Forskningsråd","keywords":"Newsprint; Econometric model; Economics; Consumption (sociology); Bayesian probability; Econometrics; Statistics; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002119259,0.0004598875,0.0008435401,0.002227276,0.0004154558,0.00185412,0.0006157605,0.001411517,0.003874099],"category_scores_gemma":[0.01069646,0.0006732178,0.000866878,0.002191738,0.0007789462,0.002137342,0.000681895,0.000706164,0.0004072145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154262,"about_ca_system_score_gemma":0.0003998209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02828875,"about_ca_topic_score_gemma":0.02188143,"domain_scores_codex":[0.9993185,0.000310386,0.00004276182,0.0001335989,0.0001075237,0.00008717855],"domain_scores_gemma":[0.9942594,0.004285119,0.00084316,0.0001820973,0.0003024038,0.000127929],"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":[0.0008082519,0.0006254494,0.3999051,0.0002488007,0.0008388624,0.001136381,0.002202744,0.407515,0.001972657,0.1018548,0.003843723,0.07904826],"study_design_scores_gemma":[0.00009026623,0.0002280448,0.1781757,0.00009806477,0.0002327565,0.0003454828,0.0009799784,0.7545078,0.0005286579,0.05946001,0.005240002,0.0001132577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958162,0.0009495533,0.0337016,0.0008108307,0.00001247513,0.00003513623,0.0007413855,0.00003712294,0.005549812],"genre_scores_gemma":[0.9911017,0.0009294755,0.004712145,0.00009266565,0.00003665527,0.00003476858,0.0008450961,0.00001310851,0.002234268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02828875,"threshold_uncertainty_score":0.05624819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07335284821815091,"score_gpt":0.2391869233710051,"score_spread":0.1658340751528541,"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."}}