{"id":"W4390267423","doi":"10.1142/s0129183124500992","title":"Logistic oscillator model for gross domestic product","year":2023,"lang":"en","type":"article","venue":"International Journal of Modern Physics C","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic function; China; Explosive material; Economics; Product (mathematics); Econometrics; Gross domestic product; Production (economics); Position (finance); Mathematics; Statistics; Economic growth; Geography; Macroeconomics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006609175,0.0008033756,0.0006316876,0.0007577242,0.0003770577,0.001445958,0.001885654,0.001567561,0.01280378],"category_scores_gemma":[0.00250606,0.0003077665,0.0009447608,0.001022353,0.000547513,0.001863097,0.0008334205,0.001296706,0.002830129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010465,"about_ca_system_score_gemma":0.0009610164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0071042,"about_ca_topic_score_gemma":0.004087014,"domain_scores_codex":[0.9996017,0.00009721836,0.000016576,0.0001446814,0.00007782284,0.00006213548],"domain_scores_gemma":[0.9996062,0.0001878164,0.00006828875,0.0000245965,0.00009006992,0.00002310614],"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":[0.00006710722,0.00005469339,0.003347084,0.0001779823,0.00007232235,0.0004561424,0.0002390113,0.6668878,0.002027628,0.3004934,0.007351288,0.01882551],"study_design_scores_gemma":[0.00001813492,0.00003736883,0.0007851897,0.00002482047,0.00002338047,0.0001453,0.0000508832,0.9410352,0.0002150471,0.04789994,0.009735669,0.00002900482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06449343,0.00215234,0.8535222,0.002999953,0.0004526755,0.0002283298,0.003877772,0.0006262723,0.071647],"genre_scores_gemma":[0.8494872,0.002731104,0.04134548,0.0003208864,0.0002103512,0.0007453058,0.002022545,0.0002408656,0.1028963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01280378,"threshold_uncertainty_score":0.04283297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101404825915498,"score_gpt":0.3186094717826452,"score_spread":0.2172046458671472,"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."}}