{"id":"W4398495299","doi":"10.7910/dvn/gl5ccd/tvadkv","title":"18_distance.do","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Université du Québec à Montréal","funders":"","keywords":"Geology; Computer science; Geography","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":[0.001912997,0.006098839,0.002937452,0.007374155,0.002458447,0.006148316,0.006788427,0.004350097,0.2208893],"category_scores_gemma":[0.01131094,0.001349403,0.002355662,0.00958466,0.001134288,0.004372295,0.005131652,0.003425698,0.3759273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00209044,"about_ca_system_score_gemma":0.002821868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021806,"about_ca_topic_score_gemma":0.04351376,"domain_scores_codex":[0.9978659,0.0004411473,0.0001631738,0.0007655792,0.0003922422,0.0003721004],"domain_scores_gemma":[0.996666,0.000803076,0.0002209492,0.001220199,0.0006515805,0.0004381538],"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":[0.00003404633,0.00001655645,0.0002926953,0.0003076391,0.00002028411,0.00001008876,0.00001754299,0.0001200097,0.0000325718,0.0002832637,0.9974141,0.001451059],"study_design_scores_gemma":[0.0002831524,0.00003010457,0.001441512,0.0003222809,0.00003616864,0.00008044362,0.0001151977,0.0007531068,0.0003838179,0.002332936,0.9941785,0.00004273078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002369079,0.000254384,0.0001560299,0.0002319215,0.0001196596,0.00001735085,0.9939429,0.002669108,0.002371717],"genre_scores_gemma":[0.0005434008,0.0001125129,0.0003744809,0.00009777647,0.00002845089,0.00005983452,0.9968737,0.000467741,0.001442099],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7791107,"threshold_uncertainty_score":0.7389483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821011488502036,"score_gpt":0.2621945524020632,"score_spread":0.2439844375170428,"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."}}