{"id":"W7024632676","doi":"","title":"Substance Abuse Trust Fund Report: FY2017 Quarter One and Quarter Two Report","year":2017,"lang":"en","type":"other","venue":"State Library's electronic repository (State Library of Massachusetts)","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Procurement; Administration (probate law); Service (business); Mental health; Substance abuse; House of Representatives","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":[0.00274221,0.0009689416,0.0007383986,0.003958399,0.002962092,0.003577736,0.002004762,0.0036292,0.198055],"category_scores_gemma":[0.01080146,0.0007532035,0.0008656069,0.003637715,0.0005195767,0.00209948,0.002876769,0.002618023,0.09240597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008502367,"about_ca_system_score_gemma":0.0267418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4506133,"about_ca_topic_score_gemma":0.5951049,"domain_scores_codex":[0.9968636,0.0001641952,0.0001364764,0.0001176932,0.00196109,0.0007569903],"domain_scores_gemma":[0.9922876,0.0006383845,0.0006549622,0.0004580489,0.004143962,0.001817057],"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":[0.00003721492,0.00006399201,0.001530015,0.00002930461,0.000004841593,0.00001754701,0.00002134676,0.00007444443,0.00001971379,0.0006383954,0.9896563,0.007906776],"study_design_scores_gemma":[0.0001239012,0.00007154125,0.04040392,0.0002661263,0.00003526043,0.00007778232,0.0006276799,0.00095087,0.0006006323,0.001399554,0.9553988,0.00004391245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.009121525,0.001153881,0.0009262045,0.02078409,0.002273468,0.0008177024,0.5918059,0.001746454,0.3713706],"genre_scores_gemma":[0.01853187,0.001393425,0.0006427231,0.002819821,0.0005287211,0.0006636271,0.1117274,0.0004572117,0.8632352],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.801945,"threshold_uncertainty_score":0.8959808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207954818319641,"score_gpt":0.2762423167196607,"score_spread":0.2541627685364643,"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."}}