{"id":"W6908066828","doi":"10.25545/glkhd9/0yt0jg","title":"GEM_Plot.png","year":2024,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"category_scores_codex":[0.001630883,0.005088284,0.002570163,0.005010094,0.001379705,0.005033481,0.004359324,0.003315412,0.3664612],"category_scores_gemma":[0.007758854,0.00192212,0.00237306,0.007171214,0.0009137005,0.00321324,0.004032378,0.002489338,0.4388105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649786,"about_ca_system_score_gemma":0.001958822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219798,"about_ca_topic_score_gemma":0.01956585,"domain_scores_codex":[0.9984936,0.0002791262,0.0001061074,0.0006332442,0.0002578474,0.0002301677],"domain_scores_gemma":[0.9972857,0.0009357844,0.0001375565,0.0009180081,0.0004871575,0.0002357345],"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":[0.0000556903,0.00001508798,0.0001418352,0.0004556101,0.00002612124,0.000009700596,0.0000212968,0.0001356552,0.0001177754,0.0003138199,0.9969247,0.001782856],"study_design_scores_gemma":[0.000313892,0.00002919413,0.0009579913,0.0001829802,0.0000275134,0.00004174718,0.00005544206,0.0005850178,0.0009475878,0.002029,0.9947894,0.0000403265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001080615,0.0000953064,0.0002713758,0.0001077046,0.00008002202,0.00001707787,0.9890265,0.008447876,0.0018461],"genre_scores_gemma":[0.0005583976,0.00008263059,0.0008403399,0.00009857467,0.00002195326,0.0001092233,0.9931666,0.003454019,0.001668198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6335388,"threshold_uncertainty_score":0.9036662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188925568401143,"score_gpt":0.2813471094050832,"score_spread":0.2594578537210718,"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."}}