{"id":"W6893770759","doi":"10.5281/zenodo.4565452","title":"Summary of Search Strategy for Acute MSK Pain","year":2021,"lang":"en","type":"dissertation","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"MEDLINE; Disease; Key (lock); Feature (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007036277,0.001916006,0.005957925,0.02764023,0.001134182,0.003606436,0.00160608,0.001442425,0.184527],"category_scores_gemma":[0.04875401,0.0008739,0.004206748,0.02828707,0.0006031216,0.002475315,0.002554534,0.001150818,0.03161152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003083912,"about_ca_system_score_gemma":0.008910811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00899287,"about_ca_topic_score_gemma":0.02005351,"domain_scores_codex":[0.9896057,0.003074287,0.005156133,0.0008194441,0.0009348132,0.0004097353],"domain_scores_gemma":[0.9779291,0.01423247,0.002993268,0.0006869335,0.003276592,0.0008817877],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004001303,0.0001345734,0.004206142,0.4363854,0.002486527,0.0005598827,0.0007527521,0.0007860949,0.00143353,0.003932229,0.3659178,0.1794038],"study_design_scores_gemma":[0.003679775,0.000692866,0.01337736,0.1748762,0.007559094,0.001574283,0.001153454,0.0007153769,0.001459867,0.00502559,0.7896711,0.0002150035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.004671125,0.08321457,0.005978948,0.003538059,0.0009436147,0.03167646,0.8346131,0.001472096,0.03389196],"genre_scores_gemma":[0.04447685,0.1695661,0.04684052,0.01124718,0.001175962,0.132163,0.5484933,0.002533517,0.04350372],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9929637,"threshold_uncertainty_score":0.6173043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006784278557517,"score_gpt":0.3044933986485663,"score_spread":0.2644255558629912,"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."}}