{"id":"W6923167567","doi":"10.1371/journal.pone.0142457.t001","title":"Study characteristics.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Quality (philosophy); Hepatitis; Hepatitis C","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004686613,0.0001431832,0.0001496392,0.00007610917,0.00003160611,0.0001940731,0.001161344,0.00007365878,0.01193407],"category_scores_gemma":[0.0004792972,0.000141382,0.00002817755,0.0001324238,7.088764e-7,0.00009854053,0.0004400346,0.000201376,0.007912252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004768271,"about_ca_system_score_gemma":0.0002107535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005330619,"about_ca_topic_score_gemma":0.000003220677,"domain_scores_codex":[0.9991801,0.0000122323,0.0001356001,0.0002459104,0.0002776791,0.0001485269],"domain_scores_gemma":[0.9989578,0.00004551013,0.00007296445,0.0006680472,0.0001485048,0.0001071412],"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":[8.338944e-8,0.00006200967,4.645185e-7,0.00004089113,0.000009045104,0.00003072284,0.00002433278,0.0000172069,1.013274e-8,0.000003582337,0.9996789,0.0001327737],"study_design_scores_gemma":[0.00003850214,0.00003107641,0.0003447165,0.0002026712,0.000003661937,0.000005164291,0.00000418948,0.0001870863,1.020073e-7,0.000008844714,0.9990118,0.0001622136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.563874e-7,0.00004782138,0.000008852887,0.00002716628,0.0004750635,0.0001256504,0.9991792,0.00004697929,0.0000890082],"genre_scores_gemma":[0.00001764818,0.000001043474,0.0001775294,0.00006425174,0.000361439,0.0000977293,0.9991918,0.000007184855,0.00008141305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004021822,"threshold_uncertainty_score":0.9928602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08018707664005795,"score_gpt":0.2985283076747428,"score_spread":0.2183412310346849,"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."}}