{"id":"W6902782690","doi":"10.7281/t1/bmathh/36csad","title":"21_D1.tar.002","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); Quality (philosophy); Compression (physics); Table (database)","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":[0.001059207,0.002684301,0.001641427,0.004594852,0.0013137,0.003273658,0.003485668,0.00229909,0.3088943],"category_scores_gemma":[0.007740682,0.0009011144,0.00136133,0.009054926,0.0005591186,0.001775857,0.002382305,0.001695294,0.3515596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868695,"about_ca_system_score_gemma":0.002929851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03659559,"about_ca_topic_score_gemma":0.05439292,"domain_scores_codex":[0.998592,0.0002112147,0.000183715,0.0004257691,0.0003076838,0.0002796942],"domain_scores_gemma":[0.995939,0.001141852,0.000263846,0.0009825191,0.001295979,0.0003767678],"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":[0.00003712019,0.00001179421,0.0001564308,0.0002363032,0.000007631388,0.000008263664,0.000009504239,0.00007318657,0.00005491813,0.0001687065,0.998453,0.0007831458],"study_design_scores_gemma":[0.0002538386,0.00002357759,0.002566428,0.0001908883,0.00002233142,0.00004395617,0.00009670011,0.0003272331,0.0004978616,0.001101967,0.9948431,0.0000320844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004373165,0.00001556923,0.00003224213,0.00003686109,0.00001633582,0.000006856076,0.9989343,0.0003294492,0.000584703],"genre_scores_gemma":[0.0001960357,0.00002199361,0.0001283512,0.00002591975,0.000008113282,0.00004256662,0.9985645,0.0001371987,0.000875345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6911057,"threshold_uncertainty_score":0.9857785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2184170934244475,"score_gpt":0.3941492936224227,"score_spread":0.1757322001979752,"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."}}