{"id":"W6902704067","doi":"10.7281/t1/bmathh/jqoz0x","title":"20_C.tar.006","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":[],"category_scores_codex":[0.001065673,0.002797542,0.001558524,0.004516978,0.001344566,0.003409819,0.003574028,0.002316838,0.2838731],"category_scores_gemma":[0.008063562,0.000811797,0.00138576,0.008384881,0.0005607591,0.001685812,0.002205341,0.001763322,0.3676032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815735,"about_ca_system_score_gemma":0.002870174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03864065,"about_ca_topic_score_gemma":0.04938808,"domain_scores_codex":[0.9986181,0.0002121648,0.0001707539,0.0004290585,0.0003006218,0.0002693952],"domain_scores_gemma":[0.9961306,0.0009643219,0.0002144709,0.001085543,0.001250232,0.0003548973],"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":[0.00003088074,0.00001044705,0.0001276883,0.000149741,0.000006150873,0.00000685358,0.000006242768,0.00007722192,0.00004571666,0.0001508019,0.9986202,0.000768079],"study_design_scores_gemma":[0.0002350039,0.00002024356,0.002142834,0.0001714617,0.00001878295,0.00004263863,0.00007380114,0.0005233424,0.0005345999,0.001179852,0.9950275,0.000029982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006361917,0.00001844673,0.00004750182,0.00004599944,0.00002246795,0.000009303435,0.9982088,0.0006481343,0.0009358969],"genre_scores_gemma":[0.0002074108,0.0000190402,0.0001616246,0.00002998241,0.000008162311,0.00003662852,0.9984403,0.0001825033,0.000914289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7161269,"threshold_uncertainty_score":0.94965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1727487815273894,"score_gpt":0.3853167407193656,"score_spread":0.2125679591919761,"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."}}