{"id":"W4416625283","doi":"10.5256/f1000research.23219.r55779","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 2; peer review: 1 approved, 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); Peer review; Service provider; Legislation; MEDLINE","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005551743,0.001180786,0.001997253,0.004416409,0.006214474,0.003024067,0.003878588,0.0068317,0.3702155],"category_scores_gemma":[0.09245234,0.0009716511,0.001752722,0.003622714,0.0009630977,0.001930622,0.003290089,0.003708757,0.1302968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007505187,"about_ca_system_score_gemma":0.0222399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4085962,"about_ca_topic_score_gemma":0.5367677,"domain_scores_codex":[0.9957379,0.0007132982,0.0007339873,0.0003068244,0.001899246,0.0006087981],"domain_scores_gemma":[0.8860302,0.02361289,0.002097811,0.002631398,0.07982057,0.00580717],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001012195,0.00001904156,0.0001517625,0.00008602488,0.000002021615,0.00002547347,0.00004747692,0.000006314272,0.00002224146,0.0000389519,0.9966471,0.002943581],"study_design_scores_gemma":[0.0007180793,0.0001184343,0.03121203,0.001875029,0.00006693692,0.0002705392,0.003757099,0.0002727792,0.0003871277,0.0009828999,0.9601385,0.0002005374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003508959,0.002862236,0.002530157,0.3752124,0.1755038,0.02610768,0.2717542,0.004763543,0.1377571],"genre_scores_gemma":[0.01673103,0.004521077,0.008205297,0.2006405,0.02912943,0.03900974,0.05497934,0.001831333,0.6449522],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9944482,"threshold_uncertainty_score":0.8983112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04249856948864989,"score_gpt":0.3242908241967783,"score_spread":0.2817922547081285,"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."}}