{"id":"W2809357933","doi":"10.1097/01.npr.0000534948.52123.fb","title":"Safe injection sites save lives","year":2018,"lang":"en","type":"article","venue":"The Nurse Practitioner","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Management; Sociology; Medicine; Genealogy; Gerontology; History; Computer science; Economics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002044699,0.000367551,0.0004396401,0.0005871662,0.002234877,0.002903214,0.0004227218,0.002220687,0.09107872],"category_scores_gemma":[0.02031942,0.0002583949,0.000529642,0.0003525218,0.001246084,0.002790194,0.001742751,0.004048868,0.0225694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009673545,"about_ca_system_score_gemma":0.003315314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003357743,"about_ca_topic_score_gemma":0.007889715,"domain_scores_codex":[0.9980844,0.0007899718,0.00005848875,0.0001138496,0.0006332969,0.0003198381],"domain_scores_gemma":[0.9896379,0.002530033,0.0008798839,0.0005613592,0.002413486,0.00397739],"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":[0.00008406554,0.0001913687,0.004244981,0.0001774414,0.00004238868,0.000131151,0.0005049116,0.00005872068,0.0001768956,0.00729175,0.7840137,0.2030826],"study_design_scores_gemma":[0.00004030952,0.0002220596,0.006265184,0.001017595,0.00004302371,0.0008857066,0.001796481,0.00008989112,0.0002474859,0.008528681,0.9808327,0.00003104819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008471637,0.05156183,0.001351567,0.6412933,0.01891399,0.00004342345,0.0003229378,0.0002657677,0.2777755],"genre_scores_gemma":[0.192365,0.141664,0.003792678,0.254628,0.01942879,0.0001252884,0.0006528781,0.0004545236,0.386889],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09107872,"threshold_uncertainty_score":0.3046887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471778782425509,"score_gpt":0.3630318561639581,"score_spread":0.3158539779214071,"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."}}