{"id":"W4366411602","doi":"10.1186/s13011-023-00532-3","title":"Harm reduction and recovery services support (HRRSS) to mitigate the opioid overdose epidemic in a rural community","year":2023,"lang":"en","type":"article","venue":"Substance Abuse Treatment Prevention and Policy","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Harm reduction; Opioid epidemic; Opioid overdose; Harm; Reduction (mathematics); Rural community; Medicine; Medical emergency; Opioid; Nursing; Psychology; Socioeconomics; Public health; Sociology; (+)-Naloxone; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002893335,0.0002409044,0.0003092504,0.0002986534,0.0002241077,0.00004202132,0.00006946403,0.00007327324,0.00005397006],"category_scores_gemma":[0.00001289784,0.0001757034,0.00008697664,0.000641054,0.00006358442,0.0002075682,0.00002411099,0.0001451566,0.0001197582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115107,"about_ca_system_score_gemma":0.00009201917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587381,"about_ca_topic_score_gemma":0.0018047,"domain_scores_codex":[0.9987502,0.0002202374,0.000312743,0.0002414809,0.000141395,0.0003339827],"domain_scores_gemma":[0.9992223,0.00007951103,0.00009010803,0.0004152421,0.00003135325,0.0001614184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003914814,0.003774237,0.2050689,0.001159625,0.001200806,0.0001413496,0.3810779,0.0001366513,0.006064288,0.001348467,0.003119587,0.3929934],"study_design_scores_gemma":[0.009895002,0.003064244,0.9388993,0.001182595,0.0003846654,0.000151553,0.02479091,0.0001440886,0.001944649,0.005795136,0.01329701,0.0004508019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935827,0.0008236346,0.000001918697,0.00371345,0.00007964294,0.0012647,0.0000376629,0.0001123425,0.000383995],"genre_scores_gemma":[0.9739443,0.01619534,0.00006959578,0.000519491,0.00008859674,0.0003440883,0.0002919339,0.00002876369,0.008517909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7338305,"threshold_uncertainty_score":0.7164978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525614180964729,"score_gpt":0.3334468071827608,"score_spread":0.3081906653731135,"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."}}