{"id":"W7115704820","doi":"10.7202/1122011ar","title":"Du « mal de l’avenir » aux « futurs de la nostalgie ». Les émotions des temporalités alternatives","year":2025,"lang":"fr","type":"article","venue":"Captures","topic":"Nostalgia and Consumer Behavior","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Object (grammar); Exhibition","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004485908,0.0003738998,0.0003297919,0.0002245494,0.0004411463,0.000162855,0.0004615972,0.0005463675,0.001747945],"category_scores_gemma":[0.0001979254,0.0003958237,0.0002731934,0.0002812971,0.001639372,0.0001312034,0.0001286496,0.0006491895,0.0001390739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002759789,"about_ca_system_score_gemma":0.0005305141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005909931,"about_ca_topic_score_gemma":0.0003684335,"domain_scores_codex":[0.997169,0.001063941,0.0003599362,0.0004912072,0.0001412386,0.0007747041],"domain_scores_gemma":[0.9985716,0.0005253963,0.0001092915,0.0004573649,0.0001150895,0.0002212622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001316495,0.001058594,0.4731275,0.0002329118,0.0005401939,0.0008866133,0.01440438,0.00002101613,0.006980509,0.3323685,0.06870178,0.1015464],"study_design_scores_gemma":[0.001191201,0.00007614039,0.6869512,0.0003018152,0.0004598366,0.0002589786,0.008380241,0.00001758409,0.002811434,0.02711781,0.2720047,0.0004289903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755206,0.04420206,0.00156743,0.008576778,0.002147725,0.0002785197,0.0002450288,0.0001406872,0.06732114],"genre_scores_gemma":[0.9221888,0.0007073468,0.001031244,0.0005963871,0.0004027922,0.00009427756,0.0000363298,0.00004778305,0.07489511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3052507,"threshold_uncertainty_score":0.9998494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03626574850019784,"score_gpt":0.3843536801617977,"score_spread":0.3480879316615998,"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."}}