{"id":"W2498211087","doi":"10.1016/j.drugalcdep.2016.07.027","title":"Cue-elicited increases in incentive salience for marijuana: Craving, demand, and attentional bias","year":2016,"lang":"en","type":"article","venue":"Drug and Alcohol Dependence","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Institute on Drug Abuse; National Institute on Alcohol Abuse and Alcoholism","keywords":"Craving; Attentional bias; Psychology; Cue reactivity; Incentive salience; Salience (neuroscience); Cannabis; Stroop effect; Incentive; Cognitive psychology; Behavioral economics; Cognition; Addiction; Neuroscience; Psychiatry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005049909,0.0001375373,0.0002250876,0.0001593007,0.0001114517,0.00004288474,0.0000841596,0.00006025307,0.00009072006],"category_scores_gemma":[0.0003626083,0.00009206766,0.00005079959,0.0001705823,0.0002351251,0.0001728838,0.0001171217,0.0001104617,0.000006099031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004913465,"about_ca_system_score_gemma":0.0001038797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007549061,"about_ca_topic_score_gemma":0.0003706657,"domain_scores_codex":[0.9986632,0.0000531633,0.0002149189,0.0004150872,0.0003214549,0.0003321418],"domain_scores_gemma":[0.999333,0.0001146577,0.0000549915,0.0001475686,0.0001447376,0.0002050893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004936609,0.0001896441,0.937246,0.0001646433,0.0000340408,0.00008049448,0.0001619521,7.115223e-7,0.01700556,0.001847513,0.008117597,0.03465815],"study_design_scores_gemma":[0.003616556,0.0001488665,0.9857745,0.000524255,0.00003404507,0.0001145859,0.0003175991,0.000384762,0.002980965,0.0009917147,0.004907142,0.0002050602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993903,0.001051904,0.000435011,0.003812236,0.0000353358,0.0004638328,0.00005536492,0.00001906647,0.0002242651],"genre_scores_gemma":[0.9916464,0.0005921978,0.0001421851,0.0003174168,0.00007197812,0.0001000679,0.00001107698,0.00001259647,0.007106055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04852841,"threshold_uncertainty_score":0.375441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03271479253836647,"score_gpt":0.3177472153529479,"score_spread":0.2850324228145815,"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."}}