{"id":"W6939981223","doi":"10.7281/t1/bmathh/telfnq","title":"10_A6.tar.003","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); Compression (physics)","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":[0.0009659076,0.00258346,0.00161358,0.004902262,0.001311324,0.003213627,0.003446597,0.002353261,0.3406967],"category_scores_gemma":[0.007542281,0.0008635322,0.001316596,0.009451577,0.0005371103,0.001888683,0.002202308,0.001676933,0.4018934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781926,"about_ca_system_score_gemma":0.00277631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03654246,"about_ca_topic_score_gemma":0.05287793,"domain_scores_codex":[0.998696,0.0001968283,0.0001749112,0.0003865566,0.0002893912,0.0002562556],"domain_scores_gemma":[0.9957967,0.001143706,0.0002719049,0.001017802,0.001375091,0.0003947909],"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":[0.0000379495,0.00001170755,0.0001493541,0.0002103791,0.000006357991,0.000007901246,0.000007877688,0.00006370545,0.00005276605,0.0001564373,0.9984823,0.0008132557],"study_design_scores_gemma":[0.0002269407,0.00002205435,0.002397005,0.0001827666,0.00001920422,0.00004317571,0.00008929865,0.0003273473,0.0004470446,0.00114479,0.9950716,0.00002875332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000437401,0.00001648528,0.00003149649,0.00003864444,0.00001797665,0.00000634244,0.9988424,0.0003656592,0.0006372245],"genre_scores_gemma":[0.0002138824,0.00002344548,0.0001285854,0.00002776697,0.00000998301,0.00003790579,0.9984123,0.000137418,0.001008802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6593033,"threshold_uncertainty_score":0.9404162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2114488497791863,"score_gpt":0.3952169758135906,"score_spread":0.1837681260344042,"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."}}