{"id":"W4396977883","doi":"10.1371/journal.pone.0292336","title":"Exploring consumer preferences for cannabis edible products to support public health policy: A discrete choice experiment","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Centre on Substance Use and Addiction; Canadian Institutes of Health Research","keywords":"Cannabis; Latent class model; Multinomial logistic regression; Mixed logit; Consumption (sociology); Environmental health; Preference; Market segmentation; Serving size; Product (mathematics); Sample (material); Medicine; Marketing; Business; Logistic regression; Economics; Psychiatry","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":[0.005400229,0.0004812867,0.0004965296,0.0002667359,0.001257088,0.001701355,0.0006771297,0.00134996,0.008366959],"category_scores_gemma":[0.00822313,0.0004325595,0.0007487765,0.000337256,0.001072115,0.0009287666,0.0007868227,0.001817566,0.0006035293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330278,"about_ca_system_score_gemma":0.001650964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005748543,"about_ca_topic_score_gemma":0.009278733,"domain_scores_codex":[0.9981478,0.0009840115,0.000108478,0.000258435,0.0002887096,0.0002125879],"domain_scores_gemma":[0.992504,0.005241,0.0008964909,0.0004404976,0.0004085432,0.0005095284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.08771929,0.3194326,0.3620487,0.001610637,0.0009525269,0.001295552,0.03271026,0.0142575,0.0771407,0.0141008,0.00436335,0.08436826],"study_design_scores_gemma":[0.02894098,0.2077994,0.5197188,0.0004075471,0.00132011,0.0005316187,0.02301189,0.1398045,0.03316,0.02212626,0.02232147,0.0008574338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979653,0.000009259958,0.0004578755,0.00008920646,0.000006965826,0.0005534797,0.0001346828,0.00000455597,0.0007786007],"genre_scores_gemma":[0.9884582,0.00006535104,0.006300323,0.0003165576,0.00001746515,0.002412941,0.0002559514,0.000004849855,0.002168387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008366959,"threshold_uncertainty_score":0.02855945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3290377797738682,"score_gpt":0.3922020646020479,"score_spread":0.0631642848281797,"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."}}