{"id":"W4285390817","doi":"10.1007/s10899-022-10144-4","title":"An Empirical Attempt to Operationalize Chasing Losses in Gambling Utilizing Account-Based Player Tracking Data","year":2022,"lang":"en","type":"article","venue":"Journal of Gambling Studies","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Session (web analytics); Operationalization; Harm; Psychology; Tracking (education); Metric (unit); Applied psychology; Social psychology; Computer science; Marketing; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01559803,0.0005893672,0.0004588438,0.004508658,0.0007774071,0.002264274,0.001258727,0.0006689863,0.001803949],"category_scores_gemma":[0.05297237,0.0003041336,0.0008187629,0.00760822,0.0009066141,0.002972527,0.002436034,0.001118749,0.0004195243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196053,"about_ca_system_score_gemma":0.00155809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092027,"about_ca_topic_score_gemma":0.01881443,"domain_scores_codex":[0.9903569,0.005153681,0.00126403,0.001037747,0.001879078,0.0003085871],"domain_scores_gemma":[0.9532738,0.0218834,0.01323022,0.004745273,0.005985105,0.0008822618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001146242,0.0001877646,0.972842,0.0001321221,0.0001456683,0.00003104423,0.002082774,0.0007412161,0.0002675036,0.001692614,0.0005688624,0.0211939],"study_design_scores_gemma":[0.00001574368,0.0005515035,0.9797475,0.0001986479,0.0001309208,0.000195398,0.004068419,0.008512794,0.0007607687,0.001366348,0.004403063,0.0000489001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673749,0.000231096,0.02031101,0.0002522904,0.00004222723,0.00110367,0.00404402,0.00006952279,0.006571304],"genre_scores_gemma":[0.9717761,0.0001513383,0.02267763,0.00009387773,0.00001732275,0.001091232,0.00319594,0.00002200997,0.0009745142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01559803,"threshold_uncertainty_score":0.08249122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4732532348355666,"score_gpt":0.5514352177247043,"score_spread":0.07818198288913769,"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."}}