{"id":"W4240476161","doi":"10.15273/dmj.vol46no2.10136","title":"Editor's Message","year":2020,"lang":"en","type":"article","venue":"Dalhousie Medical Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00491824,0.001299848,0.001846974,0.001188416,0.002492354,0.006685808,0.00380114,0.02156058,0.06104353],"category_scores_gemma":[0.03246078,0.0007268292,0.00194635,0.0007727757,0.002008714,0.003080052,0.001767776,0.02335881,0.0471346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821112,"about_ca_system_score_gemma":0.004923223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002806832,"about_ca_topic_score_gemma":0.005865747,"domain_scores_codex":[0.9957463,0.0005377134,0.000347089,0.0005701201,0.002319961,0.00047883],"domain_scores_gemma":[0.9867444,0.003355877,0.0008314867,0.0005967474,0.005967281,0.002504186],"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":[0.00001509452,0.000007515902,0.00003378296,0.00003296936,0.000003668034,0.00004490499,0.000006672012,0.000007987319,0.00001885809,0.0002067242,0.9974895,0.002132439],"study_design_scores_gemma":[0.00005752903,0.00002174951,0.0003389885,0.0001473736,0.00001329123,0.0001191039,0.00004728045,0.00009862911,0.0001181781,0.0006801548,0.9983371,0.00002065504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001539481,0.0009696391,0.0001175762,0.3564453,0.6329032,0.00004877905,0.0002212468,0.0001646086,0.008975632],"genre_scores_gemma":[0.001819106,0.001285566,0.0003704634,0.5919349,0.3484327,0.0001017165,0.0001291954,0.000086455,0.05584006],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06104353,"threshold_uncertainty_score":0.2042109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188092351133208,"score_gpt":0.2175691461876151,"score_spread":0.185688222676283,"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."}}