{"id":"W6931920965","doi":"10.5683/sp3/jtmjhx","title":"Muscovite Lakes British Columbia. 1:50,000. Map Sheet 093N16, ed. 1, 1975","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Georeference; Muscovite; Natural (archaeology); Raster graphics; Topographic map (neuroanatomy); Geologic map; Government (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003405456,0.001516981,0.001091126,0.00447252,0.00114001,0.002659833,0.001364622,0.0005050455,0.08132683],"category_scores_gemma":[0.002374696,0.0007085834,0.0004667527,0.02090537,0.0003179607,0.0007381454,0.0007892949,0.0009676624,0.05813452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007328181,"about_ca_system_score_gemma":0.01488497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9329064,"about_ca_topic_score_gemma":0.9581288,"domain_scores_codex":[0.9995957,0.00002246426,0.00003802085,0.0001019089,0.0001453571,0.00009659553],"domain_scores_gemma":[0.9987356,0.00007617045,0.0000903604,0.0001246027,0.0008226989,0.0001505203],"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":[0.0000190114,0.00000367666,0.001102474,0.0002519707,0.00001214309,0.0000156746,0.00002237532,0.00009022176,0.00002592233,0.0002304864,0.9937143,0.004511728],"study_design_scores_gemma":[0.00003603707,0.000003028099,0.02310845,0.0002875857,0.00001581729,0.00003062565,0.0001561779,0.0001596393,0.00009955877,0.0002530255,0.9758316,0.00001840025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001722965,0.0001299836,0.00002392375,0.00003923096,0.00001413773,0.000005850491,0.9972245,0.00007828714,0.002311944],"genre_scores_gemma":[0.001280109,0.0003369449,0.0002110119,0.00003099788,0.000006373136,0.00005186319,0.9894627,0.00006203257,0.008557982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08132683,"threshold_uncertainty_score":0.2720653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020995272371858,"score_gpt":0.2468920143647639,"score_spread":0.2366820616410453,"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."}}