{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001547843,0.000186006,0.0006250534,0.0002056535,0.00009260011,0.00003284375,0.000104873,0.0001096294,0.00004788263],"category_scores_gemma":[0.0009896317,0.0001307668,0.00004499356,0.0004886276,0.0000642308,0.0003511523,0.00007892316,0.0002479313,9.100568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008442301,"about_ca_system_score_gemma":0.001492245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8309315,"about_ca_topic_score_gemma":0.9941525,"domain_scores_codex":[0.997049,0.00009859278,0.0004496415,0.0003199251,0.001742491,0.0003402961],"domain_scores_gemma":[0.9964896,0.000510078,0.0001829245,0.0004479242,0.002195332,0.0001741276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003321622,0.0001365878,0.9846964,0.000810903,0.00009510529,0.00001712282,0.008763681,0.000002508933,0.0004208028,0.000002812328,0.003938019,0.0007839315],"study_design_scores_gemma":[0.002832634,0.0003970376,0.9712203,0.006149864,0.00008593324,0.00003259905,0.01097226,0.0003542405,0.0002282033,0.000002303894,0.007587572,0.0001370732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893334,0.0003424579,0.0000128206,0.00814223,0.00002273467,0.001514195,0.00002115689,0.000008985745,0.0006020455],"genre_scores_gemma":[0.9586382,0.0004396124,0.0004761324,0.00007124199,0.00001949504,0.00009064152,0.0006465324,0.00002513628,0.03959299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.163221,"threshold_uncertainty_score":0.5332516,"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."}}