{"id":"W6977715332","doi":"10.7281/t1/bmathh/7jh6ao","title":"08_A4.tar.019","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Relation (database); 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":[0.001021926,0.002464011,0.001629852,0.004816685,0.001362435,0.003063928,0.003617407,0.002300606,0.3341699],"category_scores_gemma":[0.007691544,0.0008989071,0.001362759,0.009154857,0.0005746547,0.001700105,0.002205331,0.001717941,0.3662168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001919301,"about_ca_system_score_gemma":0.003238685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04058831,"about_ca_topic_score_gemma":0.05607032,"domain_scores_codex":[0.9987286,0.000197003,0.0001702988,0.0003721266,0.0002740471,0.0002579893],"domain_scores_gemma":[0.9956701,0.001257862,0.0002745109,0.001035389,0.001375168,0.0003869448],"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":[0.00003963165,0.00001247945,0.0001520187,0.0002102096,0.000007359312,0.000008125501,0.000008530295,0.00006875919,0.00005614788,0.0001667004,0.9985056,0.0007644648],"study_design_scores_gemma":[0.0002879942,0.00002339217,0.002637216,0.0001874346,0.00002449001,0.00004164004,0.00009423053,0.0003270346,0.0004850907,0.001303675,0.9945546,0.00003312553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004553172,0.00001437199,0.00003412136,0.00003790299,0.00001662611,0.000006822158,0.9989072,0.0003483183,0.0005890717],"genre_scores_gemma":[0.000230532,0.0000232822,0.0001452384,0.00003060907,0.000009651956,0.0000496363,0.9982653,0.0001582977,0.001087538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6658301,"threshold_uncertainty_score":0.9497259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2107498840474768,"score_gpt":0.3961778427761792,"score_spread":0.1854279587287025,"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."}}