{"id":"W3123990371","doi":"10.1111/wrr.12895","title":"“<scp>Less pain</scp> with <scp>more gain</scp>”—Managing <scp>wound‐related</scp> pain with <scp>cannabis‐based</scp> medicines","year":2021,"lang":"en","type":"article","venue":"Wound Repair and Regeneration","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"ITS Electronics (Canada); McMaster University; Toronto and Region Conservation Authority; University of Toronto","funders":"","keywords":"Medicine; Opioid; Intensive care medicine; Cannabis; Prioritization; Dose; Clinical trial; Pharmacology; Psychiatry; Business; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004937659,0.001356431,0.001619049,0.0008920109,0.001507376,0.0006608253,0.0004308622,0.0009717345,0.00003269828],"category_scores_gemma":[0.004169291,0.001002176,0.0005452439,0.002343515,0.001263911,0.0005933885,0.0002331347,0.001756539,0.00003015412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005636697,"about_ca_system_score_gemma":0.002304847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004440033,"about_ca_topic_score_gemma":0.001220253,"domain_scores_codex":[0.9899513,0.001399638,0.00142302,0.002379169,0.002706761,0.002140173],"domain_scores_gemma":[0.9932318,0.001025196,0.0006471038,0.00177123,0.001879777,0.001444832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005505103,0.00105691,0.03788447,0.003081925,0.00147461,0.003008976,0.009322989,0.004014405,0.01356995,0.001448671,0.9153884,0.009693647],"study_design_scores_gemma":[0.009925388,0.004844051,0.02141821,0.002799124,0.001522992,0.002050675,0.04927802,0.05462856,0.03093774,0.000582411,0.8216445,0.0003682937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338395,0.02163502,0.01206386,0.01355658,0.001000408,0.00327044,0.00007924066,0.001251421,0.01330354],"genre_scores_gemma":[0.5103737,0.002956776,0.004078981,0.01186171,0.004925005,0.001457678,0.003236639,0.0008524366,0.4602571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4469536,"threshold_uncertainty_score":0.9999186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111525770173532,"score_gpt":0.2494323484603573,"score_spread":0.2382797714430041,"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."}}