{"id":"W4220938222","doi":"10.1097/01.naj.0000827256.97267.59","title":"Meeting Substance Use Patients Where They Are","year":2022,"lang":"en","type":"article","venue":"AJN American Journal of Nursing","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capital District Health Authority","funders":"","keywords":"Substance use; Harm; Harm reduction; Reduction (mathematics); MEDLINE","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":[0.0001636142,0.000132487,0.0004164352,0.0001512525,0.0001933578,0.00001981016,0.0001109146,0.00001133837,0.00007508839],"category_scores_gemma":[0.00006153987,0.000108188,0.0001691078,0.0003008797,0.00009390791,0.000195526,0.000009504271,0.0002962555,0.000002874563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004997216,"about_ca_system_score_gemma":0.00005510047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001716855,"about_ca_topic_score_gemma":0.00002245049,"domain_scores_codex":[0.998643,0.000106507,0.0003508021,0.0001242505,0.0005299667,0.0002454747],"domain_scores_gemma":[0.9986566,0.0001407741,0.0007428589,0.0001600012,0.0001710253,0.0001287833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005518867,0.0004605721,0.943864,0.000002699072,0.0001015613,0.0001821961,0.00717505,0.00007560013,0.0001429859,0.000008216438,0.001326674,0.0461086],"study_design_scores_gemma":[0.005028031,0.002442971,0.925535,0.00147644,0.0004588194,0.0005329211,0.06211675,0.00003591873,0.0002624117,0.0001115859,0.001715878,0.0002833189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972568,0.0008506837,0.00002385949,0.0009547787,0.0004238321,0.00009286836,0.000002016896,0.00001897953,0.0003761487],"genre_scores_gemma":[0.9975615,0.0001015507,0.001629759,0.0003943892,0.000118772,0.000001972094,0.00000275547,0.00002925694,0.0001600892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0549417,"threshold_uncertainty_score":0.4411778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305578810654551,"score_gpt":0.2919021692891787,"score_spread":0.2613442882237236,"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."}}