{"id":"W2972619818","doi":"10.1186/s13011-019-0224-3","title":"Keeping up with the times: how national public health and governmental organizations communicate about cannabis on Twitter","year":2019,"lang":"en","type":"article","venue":"Substance Abuse Treatment Prevention and Policy","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Cannabis; Legalization; Public health; Public relations; Social media; Legislation; Thematic analysis; Population; Population health; Political science; Business; Medicine; Environmental health; Sociology; Qualitative research; Psychiatry; Nursing; Law; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003942947,0.0001902543,0.00022034,0.001475915,0.005597768,0.004884293,0.0006514585,0.0009845134,0.00299794],"category_scores_gemma":[0.0170517,0.0001965796,0.0002319475,0.00247143,0.00287493,0.006201336,0.003749006,0.00115141,0.0003962521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00550929,"about_ca_system_score_gemma":0.005536603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06192455,"about_ca_topic_score_gemma":0.09062007,"domain_scores_codex":[0.9972128,0.001623014,0.0001362124,0.000181702,0.0004645856,0.0003816496],"domain_scores_gemma":[0.9904718,0.005945939,0.001454236,0.0002654682,0.001101822,0.0007607224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001109826,0.00002705346,0.06484532,0.0004214864,0.00002974085,0.0004670698,0.883514,0.000112721,0.001076507,0.004963145,0.009188677,0.03524325],"study_design_scores_gemma":[0.000004105214,0.00001995802,0.0284254,0.0003205953,0.00002083207,0.0001135278,0.9203429,0.0002640343,0.000282684,0.0006189012,0.04955746,0.00002957409],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376816,0.001366948,0.001274697,0.0210067,0.0003748118,0.00017707,0.000801719,0.00004853126,0.03726792],"genre_scores_gemma":[0.9924625,0.001306848,0.0006573728,0.00212428,0.00007691531,0.00009251242,0.0003008873,0.00003643566,0.002942133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06192455,"threshold_uncertainty_score":0.1231282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328920892578932,"score_gpt":0.3255108390259558,"score_spread":0.2922216301001664,"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."}}