{"id":"W6939098963","doi":"10.6084/m9.figshare.24668928.v1","title":"Data supplement.pdf","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confidence interval; Cerebral blood flow; Brachial artery; Intima-media thickness; Dilation (metric space); Institutional review board; Ethics committee","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0001047541,0.0003084991,0.0002594347,0.0002845776,0.0001064862,0.0004627299,0.01585917,0.0003008191,0.19749],"category_scores_gemma":[0.0008781992,0.000307264,0.00006541305,0.0003921778,0.00001170425,0.0003258347,0.01572065,0.0007569006,0.4492944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103859,"about_ca_system_score_gemma":0.000295154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007729795,"about_ca_topic_score_gemma":0.00005776424,"domain_scores_codex":[0.9978132,0.00003277997,0.0002620271,0.001079387,0.0004459399,0.0003666441],"domain_scores_gemma":[0.9935149,0.0001332436,0.0001410749,0.006098331,0.00004902205,0.00006341551],"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":[1.549803e-7,0.00001092154,9.707827e-9,0.0003283704,0.00001977215,0.0001834744,0.000003830492,7.090051e-7,6.590324e-8,0.00001394082,0.9979715,0.001467218],"study_design_scores_gemma":[0.00003611355,0.00002470681,4.876317e-7,0.001395783,0.00001055695,0.00002425436,0.00000117087,0.0009291993,0.000004060878,0.0002233055,0.9970173,0.0003330112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.952869e-9,0.0007978429,0.00003112965,0.0007745884,0.0008819815,0.0001725622,0.9958774,0.001188855,0.0002755863],"genre_scores_gemma":[1.331078e-7,0.000007515018,0.004290824,0.0002306862,0.0002496346,0.00005632922,0.9947069,0.00001532516,0.0004426285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2518044,"threshold_uncertainty_score":0.999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09358936444299817,"score_gpt":0.3127511932401145,"score_spread":0.2191618287971163,"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."}}