{"id":"W3210454514","doi":"10.1007/978-3-030-81843-2_17","title":"Non-exponential Discounting","year":2021,"lang":"en","type":"book-chapter","venue":"Springer finance","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Discounting; Exponential function; Economics; Mathematical economics; Range (aeronautics); Econometrics; Mathematics; Hyperbolic discounting; Finance; Engineering; Mathematical analysis","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002888559,0.0004304558,0.0009292436,0.0001599647,0.0001483331,0.0001441198,0.0004196295,0.0003759098,0.002350687],"category_scores_gemma":[0.00001729189,0.0005843525,0.0004065097,0.00003228254,0.0001094458,0.0002211735,0.0003121102,0.0004728729,0.002701984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649474,"about_ca_system_score_gemma":0.00005547898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008168088,"about_ca_topic_score_gemma":0.00002796537,"domain_scores_codex":[0.9976064,0.000001635305,0.0009136061,0.0009836088,0.00004024437,0.000454489],"domain_scores_gemma":[0.9982227,0.00002129684,0.0007981234,0.000856658,0.00003814429,0.0000630448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006817527,0.00001266558,0.0002434735,0.00006160954,0.00006939998,0.00002761533,0.0000767647,0.00006055332,0.000005078422,0.9971559,0.001361792,0.0009183293],"study_design_scores_gemma":[0.0002702567,0.00001936613,0.0003352373,0.000166146,0.00001353897,0.000005829314,0.000005362689,0.0002409848,0.00003443132,0.1740527,0.8241525,0.0007036197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005544286,0.008671378,0.002305049,0.0002430189,0.002470642,0.0002113883,0.0003028066,0.00005102517,0.9802004],"genre_scores_gemma":[0.09483318,0.002938713,0.0009779737,0.000182545,0.001022815,0.00002149266,0.00006523103,0.0001536092,0.8998044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8231032,"threshold_uncertainty_score":0.9996608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240951541462257,"score_gpt":0.190184039524519,"score_spread":0.1677745241098964,"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."}}