{"id":"W6977885669","doi":"10.7281/t1/bmathh/edqos9","title":"23_D3.tar.011","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":"Object (grammar); Process (computing); 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":[0.001008007,0.002601279,0.001647315,0.004201903,0.001273594,0.00302975,0.003532315,0.00219271,0.2754774],"category_scores_gemma":[0.007010627,0.0008718565,0.001464525,0.008586918,0.0005646686,0.001559315,0.002293695,0.001660885,0.316992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888094,"about_ca_system_score_gemma":0.003151644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04312376,"about_ca_topic_score_gemma":0.06026623,"domain_scores_codex":[0.9986772,0.0002020562,0.000178997,0.0003828568,0.0002965992,0.0002622886],"domain_scores_gemma":[0.9965301,0.0009402247,0.0002210989,0.000882707,0.001103287,0.0003226261],"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":[0.00004157481,0.00001110353,0.0001640206,0.0002309213,0.000008745407,0.000009483386,0.000009506221,0.00008047689,0.00006389657,0.0001749973,0.9984167,0.0007886052],"study_design_scores_gemma":[0.0002762208,0.00002233296,0.002559424,0.0001836108,0.00002664268,0.00005022062,0.00009881867,0.0003743756,0.0006285222,0.001261018,0.9944833,0.00003552058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000496862,0.00001747616,0.00004208954,0.00003788953,0.00001574744,0.000006696241,0.9988135,0.0004166964,0.0006002646],"genre_scores_gemma":[0.0002374957,0.00002445237,0.0001486794,0.00002898921,0.000007719637,0.00004341988,0.9984969,0.0001613073,0.0008510004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7245226,"threshold_uncertainty_score":0.9215637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2251942437502965,"score_gpt":0.3944117665579611,"score_spread":0.1692175228076646,"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."}}