{"id":"W6969250474","doi":"10.5683/sp2/o8m4pn","title":"Polly Farmercie","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Polypharmacy; Action (physics); Order (exchange); Context (archaeology); Practice nurse","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001183812,0.001450614,0.001227575,0.004695423,0.0006597111,0.003077547,0.00238188,0.002083906,0.2324229],"category_scores_gemma":[0.01389927,0.0006842926,0.001286998,0.006423098,0.0003641689,0.002120929,0.002887116,0.001715621,0.2285478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300727,"about_ca_system_score_gemma":0.002584777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04188895,"about_ca_topic_score_gemma":0.07978725,"domain_scores_codex":[0.9988772,0.0001762858,0.0001393607,0.0003048491,0.0002961286,0.0002061977],"domain_scores_gemma":[0.9959372,0.001114213,0.000499083,0.0007580958,0.001148684,0.0005426453],"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":[0.00002177013,0.000004482223,0.0003725801,0.0001846311,0.000007205776,0.000005893187,0.000005548199,0.00005459617,0.00001112845,0.0002143407,0.9971148,0.002003061],"study_design_scores_gemma":[0.000103297,0.000008920246,0.001703109,0.0003951693,0.00001742041,0.00003285014,0.00005139389,0.000246416,0.00008556746,0.001027458,0.996313,0.0000152085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000548615,0.00009555933,0.00004707829,0.0002250051,0.00006244526,0.000008868225,0.9970089,0.0003040695,0.002193301],"genre_scores_gemma":[0.0005950684,0.0001857224,0.0002893228,0.0002945681,0.00003843502,0.00006495936,0.9952087,0.0001728235,0.00315038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7675771,"threshold_uncertainty_score":0.7775322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756657271342567,"score_gpt":0.28169328449585,"score_spread":0.2541267117824243,"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."}}