{"id":"W4402135028","doi":"10.1038/s41598-024-70738-3","title":"Within-session chasing of losses and wins in an online eCasino","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Roulette; Psychology; Game of chance; Computer science; Advertising; Statistics; Mathematics; Business; World Wide Web","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":[0.001477088,0.0002327465,0.0003079409,0.0004650612,0.0003894733,0.0008541592,0.0003465893,0.0003121372,0.005754624],"category_scores_gemma":[0.00564291,0.0001534301,0.000224229,0.00023081,0.0004436139,0.0008618273,0.0009216755,0.0007371479,0.0006114956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003176714,"about_ca_system_score_gemma":0.0002329752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008692212,"about_ca_topic_score_gemma":0.002980428,"domain_scores_codex":[0.9990764,0.0003871623,0.00005252705,0.0001310006,0.0002615143,0.00009141288],"domain_scores_gemma":[0.9974366,0.001125498,0.0006122176,0.0003104643,0.0001488475,0.0003663683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005120501,0.01152938,0.4995898,0.0007096333,0.0004441818,0.001757629,0.0156579,0.002064463,0.05639474,0.005569522,0.003006541,0.3981557],"study_design_scores_gemma":[0.00007459542,0.005739464,0.9622539,0.0001488759,0.0001188402,0.001531944,0.005907386,0.007085494,0.004963628,0.002933217,0.009153781,0.00008872359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956364,0.00003661906,0.001101329,0.00004288774,0.00001032733,0.00003843919,0.00003733322,0.00003213222,0.003064504],"genre_scores_gemma":[0.9938682,0.00005770726,0.002282714,0.00006716944,0.000009305204,0.00006265808,0.0001009673,0.0000111722,0.003540089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005754624,"threshold_uncertainty_score":0.01925111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393771946672607,"score_gpt":0.4218431425551193,"score_spread":0.2824659478878586,"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."}}