{"id":"W6977822660","doi":"10.7281/t1/bmathh/nop1l0","title":"11_A7.tar.009","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)","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"],"category_scores_codex":[0.004634245,0.0008013644,0.001058437,0.002670627,0.002398125,0.0008909509,0.01436422,0.001165281,0.0008900356],"category_scores_gemma":[0.001978434,0.0009616461,0.0002811373,0.004025099,0.001392727,0.001862627,0.02075983,0.005243069,0.009602793],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003973853,"about_ca_system_score_gemma":0.004921964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02744257,"about_ca_topic_score_gemma":0.003763093,"domain_scores_codex":[0.9838712,0.004993294,0.0005572432,0.003636766,0.004857001,0.002084465],"domain_scores_gemma":[0.97898,0.001078766,0.0004051151,0.01647558,0.001864113,0.00119642],"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":[0.0003245332,0.0006286976,0.00006514054,0.0003804278,0.0005328984,0.02348211,0.00002312398,0.000002204037,0.0008464768,0.00008154182,0.9735649,0.0000680068],"study_design_scores_gemma":[0.0008257152,0.0001230536,0.0002361974,0.0003869368,0.0002958149,0.0003225663,0.000723216,0.00005034344,0.0002141356,0.000004645349,0.9959379,0.0008794641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001755996,0.0008473186,0.000006002364,0.0001711871,0.000955035,0.0007994158,0.9861668,0.0002313205,0.01064735],"genre_scores_gemma":[0.00004864292,0.001181209,0.0002064282,0.00002166316,0.001180692,0.000002163009,0.9717609,0.0001254808,0.02547286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02367948,"threshold_uncertainty_score":0.9998497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2092731079120753,"score_gpt":0.3961420896829583,"score_spread":0.186868981770883,"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."}}