{"id":"W6931982165","doi":"10.5683/sp3/5xoulb","title":"Summit Lake (East) British Columbia. 1:50,000. Map Sheet 093J07, ed. 1, 1957","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; Georeference; General partnership; Natural (archaeology); Topographic map (neuroanatomy); Aerial photography; Government (linguistics); Raster graphics","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":[0.0003457432,0.00162247,0.001180804,0.004727335,0.001617699,0.003587318,0.001490413,0.0006291101,0.1233799],"category_scores_gemma":[0.002385563,0.0007980075,0.0005240446,0.02146595,0.0003995761,0.0009575739,0.0009836672,0.001255178,0.08853766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007558761,"about_ca_system_score_gemma":0.01513646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9395595,"about_ca_topic_score_gemma":0.961316,"domain_scores_codex":[0.9995217,0.00002269987,0.00003942174,0.0001093926,0.0001641218,0.0001427005],"domain_scores_gemma":[0.9983709,0.00008634364,0.0001008095,0.0001355313,0.001129946,0.0001765022],"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":[0.00001606572,0.000002836832,0.000601433,0.000166802,0.000007232464,0.00001120393,0.00001911102,0.00004621973,0.0000173535,0.0001564323,0.9960906,0.002864757],"study_design_scores_gemma":[0.00004107852,0.000002836689,0.01605025,0.0002515525,0.00001183886,0.00002617672,0.0001700157,0.0001126277,0.00009940401,0.0002116223,0.983003,0.00001965743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001149486,0.00009957823,0.00001925536,0.00003754702,0.00001716882,0.000006024317,0.9969247,0.0000980202,0.002682766],"genre_scores_gemma":[0.001009892,0.0002539467,0.0001536624,0.00003593252,0.000007411716,0.00004651132,0.9889682,0.00009217632,0.0094324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1233799,"threshold_uncertainty_score":0.412747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043161523565112,"score_gpt":0.2494415961982032,"score_spread":0.2390099809625521,"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."}}