{"id":"W2587807597","doi":"10.1186/s12954-017-0136-3","title":"Factors that influence children’s gambling attitudes and consumption intentions: lessons for gambling harm prevention research, policies and advocacy strategies","year":2017,"lang":"en","type":"article","venue":"Harm Reduction Journal","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Australian Research Council","keywords":"Health psychology; Harm; Social policy; Psychology; Harm reduction; Consumption (sociology); Public health; Social psychology; Criminology; Political science; Sociology; Medicine; Nursing; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008589613,0.0002039333,0.0002133241,0.0004460016,0.002636319,0.001501404,0.0001836721,0.0001303865,0.00006319582],"category_scores_gemma":[0.0001729022,0.0001789863,0.0001026276,0.00005978575,0.0004865232,0.001286142,0.00007100242,0.0004924774,0.000006545926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008451906,"about_ca_system_score_gemma":0.0000974828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000352459,"about_ca_topic_score_gemma":0.0000163083,"domain_scores_codex":[0.9984033,0.0001641499,0.000315211,0.0003734995,0.0003285936,0.0004152325],"domain_scores_gemma":[0.9987295,0.00007797236,0.0003767804,0.0002890426,0.0003440811,0.0001826324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002581627,0.0005621269,0.9468256,0.00009596131,0.0004560014,0.000007813701,0.01585364,0.00002556207,0.01350707,0.004617338,0.0002380181,0.01755277],"study_design_scores_gemma":[0.001394536,0.0002104048,0.9795324,0.0002543988,0.0001286362,0.0005590771,0.01419831,0.000003958222,0.001224406,0.002257556,0.00007694704,0.0001594282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964476,0.0008734543,0.0005810624,0.0006195678,0.0008752269,0.0004382031,0.00001848375,0.00004532493,0.000101075],"genre_scores_gemma":[0.9974508,0.00137319,0.0003986238,0.00000487054,0.0002066355,0.00006780306,0.00001697375,0.00002635424,0.000454804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0327068,"threshold_uncertainty_score":0.9995351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4946042408133107,"score_gpt":0.5506480513851391,"score_spread":0.05604381057182839,"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."}}