{"id":"W4380269256","doi":"10.1515/9780773576162-003","title":"From New York to Ibiza to Britain to Toronto: Rave Histories, Contexts, and Panics","year":2006,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Crime and Detective Fiction Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Media studies; Sociology","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":[0.0007343451,0.000394941,0.0003505835,0.002217884,0.02640607,0.00909395,0.001130075,0.002832908,0.022882],"category_scores_gemma":[0.002633695,0.0005171174,0.0001624632,0.004055557,0.02103504,0.005096321,0.005678119,0.00566718,0.001686768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03095987,"about_ca_system_score_gemma":0.01163556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7463008,"about_ca_topic_score_gemma":0.9056187,"domain_scores_codex":[0.999246,0.0001599527,0.00001597121,0.00008982348,0.00009217052,0.000396097],"domain_scores_gemma":[0.9988632,0.0003949103,0.0001277855,0.00008452409,0.0001390033,0.000390629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007586128,0.00001784479,0.002538977,0.0001104718,0.000006651457,0.0009135123,0.7209579,0.00004718616,0.0001854083,0.1684377,0.08627807,0.02043039],"study_design_scores_gemma":[0.000006955725,0.000009800879,0.01353168,0.0002724109,0.000007376793,0.0001989746,0.3725691,0.00001797396,0.0001218238,0.004528006,0.6087093,0.00002660963],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2675621,0.03339831,0.0005352011,0.0663233,0.0011445,0.00004421068,0.000692673,0.00009963753,0.6302],"genre_scores_gemma":[0.828433,0.005624869,0.000129869,0.003312874,0.0001725075,0.00003406353,0.0001340094,0.0001222666,0.1620365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2536992,"threshold_uncertainty_score":0.5103866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933563783285319,"score_gpt":0.207234255982447,"score_spread":0.1778986181495938,"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."}}