{"id":"W4408019453","doi":"10.1080/14927713.2025.2461765","title":"Artificial intelligence and leisure rights?","year":2025,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Political science; Sociology","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":[0.004281155,0.0003173052,0.0003505848,0.001062829,0.003471613,0.008121609,0.0008540229,0.004507661,0.01099033],"category_scores_gemma":[0.006545305,0.0001598735,0.000320771,0.001029427,0.03402161,0.01418444,0.004621268,0.004819065,0.001429824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00271721,"about_ca_system_score_gemma":0.001961088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002600626,"about_ca_topic_score_gemma":0.002331158,"domain_scores_codex":[0.9966516,0.001863041,0.0001126718,0.0004092827,0.0004339528,0.0005295819],"domain_scores_gemma":[0.9963463,0.002137627,0.0003288144,0.0004613824,0.0003037709,0.0004221449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002739818,0.000004708371,0.00004963666,0.000008343953,7.99559e-7,0.000007784898,0.0003873068,0.00002998647,0.000009550399,0.9953968,0.001895188,0.002207117],"study_design_scores_gemma":[0.000004818408,0.000003975192,0.0001547916,0.00006529326,0.000001056242,0.00002854288,0.0007106353,0.00009048997,0.00003978152,0.9251054,0.07379076,0.000004401379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0127383,0.01112289,0.006152143,0.2529157,0.0008034792,0.00001807252,0.00004987862,0.00002803913,0.7161716],"genre_scores_gemma":[0.903967,0.008762659,0.002446922,0.02484478,0.001707315,0.0001181637,0.00007342298,0.00004793524,0.05803189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01099033,"threshold_uncertainty_score":0.03676629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414694125938245,"score_gpt":0.2844333775033579,"score_spread":0.2602864362439755,"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."}}