{"id":"W4233679915","doi":"10.22215/etd/2013-09996","title":"Furthering Persuasive Systems Design: Persuasive Technology and Responsible Gambling","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Waterloo","funders":"Ontario Problem Gambling Research Centre","keywords":"Usability; Pleasure; Set (abstract data type); Recreation; Addiction; Limit (mathematics); Persona; Psychology; Process (computing); Applied psychology; Computer science; Human–computer interaction; Engineering; Political science; Psychotherapist","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003675642,0.0006527907,0.0003835394,0.001569237,0.0009409233,0.005093223,0.0006010912,0.002812531,0.009860124],"category_scores_gemma":[0.009352122,0.0004064254,0.0004773512,0.001038328,0.003750981,0.005858161,0.001570729,0.002591233,0.001487105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009422672,"about_ca_system_score_gemma":0.001332292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009782563,"about_ca_topic_score_gemma":0.001040882,"domain_scores_codex":[0.9981896,0.001103084,0.0000840943,0.000129545,0.0004225184,0.00007109952],"domain_scores_gemma":[0.9912765,0.00746784,0.0001901696,0.0002283198,0.0006450134,0.0001922268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009686287,0.0003099176,0.0009809635,0.002149475,0.00005375469,0.0002375877,0.009886497,0.00218729,0.002116984,0.374963,0.02630827,0.5807095],"study_design_scores_gemma":[0.0001370481,0.0005501664,0.00191274,0.004460683,0.00009981861,0.0009097237,0.00360643,0.007523811,0.003787616,0.5620584,0.4148619,0.0000916292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03213089,0.2688563,0.3453117,0.08313885,0.004361711,0.0004978957,0.00009988759,0.001085251,0.2645176],"genre_scores_gemma":[0.5170444,0.2002043,0.1809276,0.007892417,0.00304349,0.0009653944,0.0001702327,0.0003453791,0.08940681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009860124,"threshold_uncertainty_score":0.03298539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149592417132304,"score_gpt":0.3974810939782028,"score_spread":0.2825218522649725,"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."}}