{"id":"W6940281849","doi":"10.7281/t1/bmathh/80mesh","title":"16_B5.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); Set (abstract data type); Telmatology","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":[0.004586327,0.0008003917,0.001062977,0.002681446,0.002418682,0.0009080255,0.01437227,0.001172341,0.000924195],"category_scores_gemma":[0.001947703,0.0009609004,0.0002806162,0.003966617,0.001409762,0.001876337,0.02064679,0.005252153,0.009590398],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003949417,"about_ca_system_score_gemma":0.004921991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738212,"about_ca_topic_score_gemma":0.003266364,"domain_scores_codex":[0.9839153,0.004983705,0.0005563734,0.003631855,0.004832268,0.002080448],"domain_scores_gemma":[0.9790492,0.001078534,0.0004062228,0.01643527,0.001835624,0.001195156],"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":[0.0003212393,0.0006393588,0.0000738472,0.0003704668,0.0005340697,0.02258694,0.00001998956,0.000002229368,0.0008378188,0.00008125534,0.9744613,0.00007153072],"study_design_scores_gemma":[0.0008190961,0.000123077,0.0002495886,0.0003781203,0.0002966544,0.0003138835,0.000557361,0.00004956049,0.0002629687,0.000004533212,0.9960667,0.0008784233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002036025,0.0008257786,0.000005741554,0.0001574717,0.0009675586,0.0008068,0.9870418,0.0002313461,0.009759897],"genre_scores_gemma":[0.00005056628,0.001349443,0.000202831,0.00002058264,0.00118841,0.000002140308,0.9748463,0.000124445,0.0222153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02227306,"threshold_uncertainty_score":0.9999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2095470381098272,"score_gpt":0.3961530774888474,"score_spread":0.1866060393790201,"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."}}