{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.004495047,0.0007999447,0.001051826,0.002627364,0.00248401,0.0009340864,0.01434869,0.001179699,0.00109403],"category_scores_gemma":[0.001931695,0.0009618005,0.0002815936,0.004001972,0.001480346,0.001847396,0.02169184,0.005243405,0.01068366],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003940414,"about_ca_system_score_gemma":0.004591322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504453,"about_ca_topic_score_gemma":0.003161591,"domain_scores_codex":[0.9841,0.004843988,0.0005557703,0.003643479,0.004761034,0.002095737],"domain_scores_gemma":[0.9789776,0.001084381,0.0004045135,0.01647597,0.001869013,0.001188487],"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":[0.000316256,0.0006117653,0.00007100966,0.000395227,0.0005498253,0.02370375,0.00001865121,0.000001709929,0.0008970016,0.0000658086,0.973294,0.00007503978],"study_design_scores_gemma":[0.0008430074,0.0001100885,0.0002079921,0.0003761372,0.0002925384,0.0003268436,0.00053216,0.00005806422,0.0002716211,0.000003651213,0.9960986,0.0008792815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001562814,0.0009087595,0.000005748105,0.0001667313,0.0009569906,0.0008027548,0.9864053,0.0002275334,0.01036995],"genre_scores_gemma":[0.00003223428,0.001434733,0.0002526524,0.00001857522,0.001144816,0.000002252363,0.9666629,0.0001286111,0.03032324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0233769,"threshold_uncertainty_score":0.9998833,"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."}}