{"id":"W4385416826","doi":"10.3390/ijerph20156486","title":"Considerations for Purchasing Drug Checking Technologies: Perspectives from Toronto’s Drug Checking Service","year":2023,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"Health Canada; St. Michael's Hospital Foundation; St. Michael’s Hospital Foundation","keywords":"Purchasing; Service (business); Harm reduction; SAFER; Harm; Drug; Business; Service provider; Internet privacy; Computer science; Risk analysis (engineering); Public relations; Computer security; Public health; Medicine; Marketing; Law; Pharmacology; Nursing; Political science","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":[0.007029544,0.0004572797,0.0003290909,0.001210341,0.02407839,0.01405357,0.0024785,0.0108318,0.02298851],"category_scores_gemma":[0.01646632,0.0007516411,0.0006961377,0.002204564,0.008641919,0.006182194,0.004029329,0.009945448,0.001517804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05321051,"about_ca_system_score_gemma":0.1009275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7294846,"about_ca_topic_score_gemma":0.892765,"domain_scores_codex":[0.9883388,0.003015339,0.0004713072,0.0005794995,0.00395278,0.003642237],"domain_scores_gemma":[0.9655067,0.01070635,0.002130867,0.0003565366,0.007586305,0.01371319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001750772,0.0002842674,0.03310877,0.0009797924,0.00005467512,0.01090024,0.07010216,0.000458584,0.002405291,0.05020433,0.7649274,0.06639953],"study_design_scores_gemma":[0.00002276585,0.0001510392,0.01887649,0.0009027874,0.00003906234,0.001957282,0.1476942,0.0003739315,0.00057457,0.002991936,0.8262191,0.0001969256],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0373244,0.009464512,0.0006637219,0.8873866,0.001429142,0.00006545623,0.000266923,0.00006669913,0.06333262],"genre_scores_gemma":[0.4541947,0.0256463,0.002807659,0.4485391,0.001508745,0.00008928032,0.0003114394,0.0002034938,0.06669921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2705154,"threshold_uncertainty_score":0.544217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576229253444062,"score_gpt":0.4451712763648948,"score_spread":0.2875483510204886,"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."}}