{"id":"W6894483147","doi":"10.5683/sp3/kwjtfu","title":"Replication Data for: Behavioral analysis of habit formation in modern slot machine gambling","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Habit; Session (web analytics); Context (archaeology); Addiction; Replication (statistics); Behavioral analysis; Addictive behavior","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":[0.004826349,0.001546709,0.001225777,0.001936995,0.000904081,0.001547307,0.0030525,0.001984299,0.03379757],"category_scores_gemma":[0.02182469,0.0006632162,0.001588917,0.002449046,0.0005483786,0.0009145754,0.001765591,0.001675525,0.03530466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008377371,"about_ca_system_score_gemma":0.001952477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01904474,"about_ca_topic_score_gemma":0.03709261,"domain_scores_codex":[0.9978012,0.000621873,0.0003013834,0.0006722625,0.0004002553,0.0002029637],"domain_scores_gemma":[0.9899041,0.002560459,0.001142472,0.003849407,0.002035981,0.0005076485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001349499,0.000392356,0.03944552,0.001608832,0.0005157964,0.0001713166,0.0002155023,0.001279734,0.0008466344,0.0009575928,0.9361355,0.01708173],"study_design_scores_gemma":[0.003493505,0.0004737166,0.1618061,0.0006732286,0.0005544761,0.0004566647,0.0004565008,0.003906523,0.002110653,0.003349237,0.8225033,0.0002161591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006122393,0.0001353005,0.0008952528,0.0001607895,0.00009503606,0.0001936601,0.9903425,0.000760295,0.001294808],"genre_scores_gemma":[0.0100509,0.00004499812,0.001847391,0.00009364006,0.00002506883,0.00118721,0.9846789,0.0001456117,0.001926188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03379757,"threshold_uncertainty_score":0.1130641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388280234138512,"score_gpt":0.3962022979111832,"score_spread":0.257374274497332,"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."}}