{"id":"W3038627064","doi":"10.29173/cgs49","title":"Cashless play in UK bingo: Two paradoxes in the use of player surveillance tools.","year":2020,"lang":"en","type":"article","venue":"Critical Gambling Studies","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council","keywords":"Business; Computer science; Computer security; Advertising; Internet privacy","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006061844,0.0001001704,0.0003031243,0.00004229532,0.0000619824,0.0001175169,0.0002135913,0.00004082721,0.0000076743],"category_scores_gemma":[0.01324846,0.00007193702,0.00005287306,0.0004733661,0.0006654906,0.0002085208,0.00007575971,0.0001625977,0.000006275995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002530382,"about_ca_system_score_gemma":0.00005872196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003049689,"about_ca_topic_score_gemma":0.004536819,"domain_scores_codex":[0.9986472,0.0001787874,0.0002852809,0.0002014147,0.0003386011,0.0003487768],"domain_scores_gemma":[0.9961109,0.003614868,0.00002852663,0.00009762398,0.00007788761,0.00007024626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001276716,0.0003087342,0.3404427,0.0002365299,0.00006982475,0.0003012946,0.3059874,0.0004586159,0.0001113108,0.2988518,0.003513487,0.04959053],"study_design_scores_gemma":[0.003053911,0.0004934956,0.2847891,0.001182721,0.00006479739,0.000005303094,0.3081415,0.000731192,0.0002883463,0.01128102,0.3886024,0.001366145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653676,0.00224631,0.00002547846,0.02201527,0.0002955426,0.0002293388,0.00002017943,0.00002954769,0.009770693],"genre_scores_gemma":[0.9977412,0.0005361676,0.0001650532,0.001295634,0.0001529679,0.00001759992,9.458619e-7,0.000005946051,0.00008454059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3850889,"threshold_uncertainty_score":0.9950634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3442805909871045,"score_gpt":0.4400565229225003,"score_spread":0.0957759319353958,"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."}}