{"id":"W2495218077","doi":"10.1007/978-3-319-26647-3_158","title":"Nostalgia’s Role in Retromarketing","year":2016,"lang":"en","type":"book-chapter","venue":"Developments in marketing science: proceedings of the Academy of Marketing Science","topic":"Nostalgia and Consumer Behavior","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec à Chicoutimi","funders":"","keywords":"Psychology; Art","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":["metaresearch","metaepi_narrow","sts","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07690956,0.0007850735,0.001037554,0.002840961,0.0006378362,0.000154311,0.00718894,0.0006437303,0.0003947258],"category_scores_gemma":[0.01258348,0.0006252193,0.0002189181,0.002799175,0.007493508,0.0009242698,0.003010069,0.001703285,0.00002440054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009625017,"about_ca_system_score_gemma":0.001313631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001947442,"about_ca_topic_score_gemma":0.000002370823,"domain_scores_codex":[0.9888136,0.0001889424,0.002588708,0.002464347,0.00390402,0.002040377],"domain_scores_gemma":[0.9939496,0.001801427,0.002882425,0.0004565064,0.0006483524,0.0002617064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001882193,0.0001869143,0.601619,0.00071512,0.000059984,0.000009714205,0.003549554,7.540761e-7,0.1758367,0.02274613,0.00082633,0.1925677],"study_design_scores_gemma":[0.0007698182,0.0000256512,0.9799075,0.00880464,0.00003491255,0.00003928399,0.0009332022,0.000008976825,0.004602945,0.00182787,0.002184054,0.0008611326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4746488,0.000241374,1.442527e-7,0.0002653064,0.0005450439,0.0006317608,0.00001196666,0.00003588348,0.5236198],"genre_scores_gemma":[0.9046583,0.0001201155,0.003140192,0.0001103017,0.00006764944,0.00005541261,4.851315e-7,0.00009702025,0.09175054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4318692,"threshold_uncertainty_score":0.9996199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01730826650420266,"score_gpt":0.2927704892149339,"score_spread":0.2754622227107312,"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."}}