{"id":"W3209982254","doi":"10.1136/oem-2021-epi.268","title":"P-309 Investigating health and other characteristics of Military Veterans authorized to receive medicinal cannabis in Canada","year":2021,"lang":"en","type":"article","venue":"Poster presentations","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Veterans Affairs; Military service; Reimbursement; Medicine; Authorization; Military personnel; Cannabis; Gerontology; Demography; Health care; Psychiatry; Computer security; Geography; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003731249,0.0001856558,0.0002646001,0.002456585,0.001958526,0.0008604496,0.0008901471,0.0003664484,0.009317452],"category_scores_gemma":[0.002469765,0.0002021462,0.0007684313,0.006247479,0.000488991,0.0004000108,0.0006929394,0.0004895558,0.000692251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01228588,"about_ca_system_score_gemma":0.02437253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9744313,"about_ca_topic_score_gemma":0.9794562,"domain_scores_codex":[0.9993991,0.0000341134,0.00006038086,0.00008579723,0.0002088187,0.0002117304],"domain_scores_gemma":[0.997692,0.0001843264,0.0007164382,0.00005786865,0.0009011921,0.0004482103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004259761,0.00003019234,0.9933642,0.00007488522,0.00003237328,0.00003865318,0.0002388667,0.00004629464,0.0000559182,0.00006806546,0.002772857,0.003235103],"study_design_scores_gemma":[0.000004682057,0.00002408232,0.997466,0.00004827272,0.00001390782,0.00003895277,0.0008618461,0.0001267912,0.00003959012,0.00002092521,0.001349775,0.000005279885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178464,0.0006517831,0.0001652191,0.0007115398,0.00002336811,0.0002565028,0.07133842,0.00003146881,0.008975139],"genre_scores_gemma":[0.9843977,0.0004179405,0.0003375926,0.0002351231,0.00001156779,0.0001144922,0.01282396,0.000009453897,0.00165211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02556872,"threshold_uncertainty_score":0.08914065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05487894035941328,"score_gpt":0.3533831033679496,"score_spread":0.2985041630085363,"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."}}