{"id":"W6977796778","doi":"10.7283/phkp-as37","title":"MacKenzie-Yukon 2018","year":2020,"lang":"en","type":"dataset","venue":"NSF Geodetic Facility for the Advancement of Geoscience (GAGE)","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Set (abstract data type); Work (physics); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008535407,0.0003578089,0.0004039712,0.00009769353,0.0003438205,0.0001393806,0.003291854,0.0001019155,0.00004206466],"category_scores_gemma":[0.0004549813,0.0002817899,0.0002088784,0.0005273867,0.0002694253,0.0003327632,0.0006589579,0.0003004561,0.0001325867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215345,"about_ca_system_score_gemma":0.0003011995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001796282,"about_ca_topic_score_gemma":0.00003829331,"domain_scores_codex":[0.9970517,0.00003817318,0.0005872012,0.000819063,0.0009327148,0.0005711815],"domain_scores_gemma":[0.9972977,0.0004958228,0.0002802393,0.001565797,0.0001907303,0.0001697213],"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":[0.00003875713,0.0004172355,0.00001060316,0.001236107,0.00009913337,0.000004156212,0.0003710103,0.03675923,0.0002495528,0.005986244,0.8962877,0.05854023],"study_design_scores_gemma":[0.0001922644,0.0001947858,0.0001057739,0.00005721318,0.00003908512,0.000002598587,0.00004075817,0.02541911,0.0001203671,0.0006935467,0.9728398,0.0002946662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.0000129856,0.000209773,0.5537724,0.002796923,0.001339196,0.0004507963,0.4413876,0.00002659155,0.000003707464],"genre_scores_gemma":[0.001120658,0.004225882,0.09763517,0.002681679,0.0004894477,0.0006456757,0.8903735,0.00003672854,0.002791306],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4561373,"threshold_uncertainty_score":0.9999634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327721720311209,"score_gpt":0.2693898082970851,"score_spread":0.2366176362659642,"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."}}