{"id":"W6958465521","doi":"10.6084/m9.figshare.19533963.v1","title":"Additional file 1 of THC labeling on cannabis products: an experimental study of approaches for labeling THC servings on cannabis edibles","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sample (material); Cannabis; Table (database); Dronabinol","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002331793,0.0008410267,0.001168144,0.00169187,0.001528174,0.001260683,0.001561832,0.001138675,0.8803937],"category_scores_gemma":[0.0327456,0.0005982521,0.0008006575,0.002482867,0.0003326388,0.00162735,0.0008854758,0.0009511581,0.1749886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296948,"about_ca_system_score_gemma":0.001997445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00819033,"about_ca_topic_score_gemma":0.01637973,"domain_scores_codex":[0.9991161,0.0002836635,0.0001229731,0.0001832655,0.0002085576,0.00008545419],"domain_scores_gemma":[0.9541847,0.03693331,0.001948211,0.002127012,0.004161223,0.0006455991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001240866,0.0006825506,0.002458862,0.003605084,0.0000503238,0.00004194774,0.0002325423,0.0002597598,0.0001622266,0.0009848363,0.9700114,0.02026967],"study_design_scores_gemma":[0.01347203,0.001690727,0.05272326,0.00493288,0.0004414503,0.0003482352,0.001603781,0.001971416,0.001842691,0.01363976,0.9070719,0.0002617807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001158007,0.00005823343,0.0006903317,0.0001817943,0.00004501175,0.001048781,0.9923145,0.0003543671,0.004148892],"genre_scores_gemma":[0.04035298,0.0006521053,0.01946911,0.001455886,0.0002530549,0.05098104,0.8201346,0.001903569,0.06479757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8803937,"threshold_uncertainty_score":0.1706038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09587650295662041,"score_gpt":0.3158729729423766,"score_spread":0.2199964699857562,"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."}}