{"id":"W4416644092","doi":"10.5256/f1000research.17996.r44607","title":"Referee report. For: Assessing service and treatment needs of young people who use illicit and non-medical prescription drugs living in Northern Ontario, Canada [version 1; referees: 1 approved with reservations]","year":2019,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medical prescription; Service (business); MEDLINE; Service provider; Prescription drug","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007903197,0.001753773,0.002411019,0.006805276,0.007423941,0.004058374,0.005675409,0.006186205,0.3789403],"category_scores_gemma":[0.09922028,0.001888936,0.002559619,0.005482882,0.001074395,0.002021233,0.003608424,0.004027995,0.1484468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01246573,"about_ca_system_score_gemma":0.03532891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.665252,"about_ca_topic_score_gemma":0.7962967,"domain_scores_codex":[0.9935741,0.0009122787,0.00100825,0.0003749973,0.0030606,0.00106975],"domain_scores_gemma":[0.8575614,0.0236058,0.002958538,0.003789046,0.1054578,0.006627478],"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":[0.00001746375,0.00002469031,0.0001712483,0.00009191736,0.000002609841,0.00001149545,0.00003315693,0.000008938292,0.00001625224,0.00002941503,0.9972048,0.002387789],"study_design_scores_gemma":[0.001509911,0.0001668046,0.06319269,0.002198023,0.0001120385,0.0001343544,0.002173396,0.000273531,0.0003663427,0.0007258184,0.9288781,0.00026899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002824852,0.001878549,0.001878569,0.09903616,0.08883984,0.0291412,0.6387858,0.004034663,0.1335803],"genre_scores_gemma":[0.01455902,0.003435646,0.007691193,0.08592697,0.01379487,0.05042115,0.1561694,0.002492273,0.6655095],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3789403,"threshold_uncertainty_score":0.8858663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087632844710244,"score_gpt":0.3155464378870521,"score_spread":0.2746701094399497,"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."}}