{"id":"W2782954594","doi":"10.1016/j.addbeh.2018.01.008","title":"Chronic cannabis use and attentional bias: Extended attentional capture to cannabis cues","year":2018,"lang":"en","type":"article","venue":"Addictive Behaviors","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Nipissing University","funders":"","keywords":"Attentional bias; Cannabis; Psychology; Disengagement theory; Effects of cannabis; Attentional blink; Cognitive psychology; Cognition; Addiction; Cognitive bias; Rapid serial visual presentation; Neuroscience; Cannabidiol; Psychiatry; Medicine","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":[0.0004097828,0.0003744283,0.0004192896,0.0005248199,0.0004658226,0.0009769822,0.0003565166,0.0007384915,0.005907554],"category_scores_gemma":[0.003603252,0.0003561076,0.0002766802,0.000493545,0.0005639053,0.0006031774,0.0007952296,0.0006149667,0.0002012182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005333018,"about_ca_system_score_gemma":0.0008017133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504352,"about_ca_topic_score_gemma":0.02442929,"domain_scores_codex":[0.999763,0.0000344385,0.00001417843,0.00006281117,0.00007124698,0.00005433532],"domain_scores_gemma":[0.9982554,0.0006620241,0.0005359987,0.0001840785,0.0001183393,0.0002442331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02779076,0.002501659,0.5136173,0.0007305127,0.0009865618,0.001054612,0.001716161,0.0007715173,0.3817624,0.001246187,0.001971251,0.06585106],"study_design_scores_gemma":[0.00006013931,0.0002241979,0.9971997,0.00001742712,0.00006011437,0.0001968647,0.0001139709,0.000229463,0.001291246,0.0003693138,0.0002264884,0.00001106889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956547,0.001013434,0.0002828366,0.0001518143,0.00004115426,0.00003001286,0.0001791944,0.000006587602,0.002640146],"genre_scores_gemma":[0.9980668,0.0003427311,0.0002194012,0.0001373328,0.00004315749,0.00002946264,0.0001322328,0.00001198205,0.001016892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01504352,"threshold_uncertainty_score":0.02991194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161398989668585,"score_gpt":0.3236691112033244,"score_spread":0.2920551213066386,"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."}}