{"id":"W7001257822","doi":"","title":"Investigating preferences for gaming machine features in problem and non-problem gamblers using a consumer choice methodology","year":2008,"lang":"en","type":"article","venue":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conjoint analysis; Product (mathematics); Sample (material); Rank (graph theory); Consumer behaviour; Preference; Consumer choice; Index (typography)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002860878,0.000359094,0.0003831301,0.002827371,0.0009265884,0.0007587944,0.0003057489,0.0004943016,0.002081839],"category_scores_gemma":[0.006778988,0.000221186,0.0004203091,0.001324432,0.0009557656,0.000428538,0.000679027,0.0005733531,0.0001795701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005458793,"about_ca_system_score_gemma":0.0004609779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006604935,"about_ca_topic_score_gemma":0.01458283,"domain_scores_codex":[0.9989777,0.0005169257,0.00006725097,0.00009091405,0.0002474564,0.00009972261],"domain_scores_gemma":[0.9974808,0.001602364,0.0004203076,0.000103534,0.0002151066,0.0001778334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0013596,0.002203895,0.8669689,0.0001838189,0.0001589022,0.0004366341,0.05338154,0.001525251,0.01083913,0.001715156,0.0002543094,0.06097282],"study_design_scores_gemma":[0.00005613111,0.00233136,0.9413085,0.00003978861,0.00006151213,0.0008054033,0.04341664,0.006305074,0.002555996,0.002249807,0.000793764,0.00007588262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991897,0.00001580458,0.0004957641,0.00000924394,7.1281e-7,0.00005180163,0.00001593772,0.000001028477,0.000219985],"genre_scores_gemma":[0.9964438,0.00004767943,0.002937902,0.00001639739,0.000002083712,0.0001148613,0.00003841896,9.555609e-7,0.0003979712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006604935,"threshold_uncertainty_score":0.01512992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3238983671283126,"score_gpt":0.3898464325174807,"score_spread":0.06594806538916809,"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."}}