{"id":"W4410077079","doi":"10.3390/arts14030050","title":"Navigating Class, Gender, and Urban Mobile Spaces: Dissecting Iranian Car Social Spaces in Cinematic Narratives","year":2025,"lang":"en","type":"article","venue":"Arts","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Narrative; Class (philosophy); Gender studies; Sociology; Computer science; Art; Artificial intelligence; Literature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00153672,0.0004631514,0.000188453,0.001718768,0.004600353,0.004186589,0.0005149485,0.0007204837,0.002024442],"category_scores_gemma":[0.002215696,0.0002035748,0.0001805184,0.001083632,0.008899502,0.003357558,0.002394159,0.00119955,0.0001307486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002388053,"about_ca_system_score_gemma":0.0009469304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007236151,"about_ca_topic_score_gemma":0.01642116,"domain_scores_codex":[0.9992855,0.0003842243,0.00001674867,0.00006662925,0.000108343,0.0001385522],"domain_scores_gemma":[0.9991847,0.0004860422,0.0001312372,0.0000394019,0.00007237927,0.0000861548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001363115,0.000008043774,0.002130577,0.00003676607,0.000003074698,0.0003394466,0.9822866,0.00002516979,0.0006747001,0.009709532,0.000516773,0.00425555],"study_design_scores_gemma":[0.000001806137,0.00001206512,0.005103713,0.00005485703,0.000005039044,0.0001972202,0.9718836,0.00006519529,0.0002694259,0.0009295837,0.02147153,0.000005884371],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950824,0.001021378,0.001573853,0.001910834,0.00008925665,0.00003063213,0.00005114304,0.0000116224,0.04448732],"genre_scores_gemma":[0.9972441,0.0003613172,0.0003287387,0.0001035156,0.00002786545,0.00001325663,0.00001767227,0.000007698673,0.001895903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007236151,"threshold_uncertainty_score":0.01732665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590996183888652,"score_gpt":0.3351291318155468,"score_spread":0.3092191699766603,"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."}}