{"id":"W6908267545","doi":"10.25625/kho2sd","title":"simulation movie of jetting ofdstar=0 bubble Quarter 3D","year":2020,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bubble; Quarter (Canadian coin)","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006059929,0.0007171773,0.001279962,0.001567679,0.0003782944,0.0001783579,0.00197054,0.0007367762,0.00170797],"category_scores_gemma":[0.01191077,0.0007278198,0.0003179025,0.002715447,0.0004824785,0.0002900487,0.001382956,0.003768487,0.01522935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005038594,"about_ca_system_score_gemma":0.001077303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313277,"about_ca_topic_score_gemma":0.0008343686,"domain_scores_codex":[0.9885079,0.001943563,0.001727885,0.001469384,0.004552778,0.001798437],"domain_scores_gemma":[0.9907779,0.003272914,0.000969301,0.002011942,0.002375746,0.0005922372],"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":[0.0003313396,0.0008525577,0.00003946231,0.00144788,0.000256388,0.0001334634,0.0001503236,0.005306989,0.001539047,0.000002278723,0.9886506,0.001289629],"study_design_scores_gemma":[0.000868169,0.0006433367,0.00006843672,0.0006090471,0.000117217,0.000002015382,0.0002906316,0.03993729,0.0002420285,0.00005215042,0.9566113,0.0005583506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00141446,0.0005530789,0.00003051716,0.0005590712,0.000169506,0.001457052,0.9954624,0.0001770619,0.000176831],"genre_scores_gemma":[0.001466113,0.0001007326,0.00391415,0.0001147364,0.002076947,0.00006034644,0.9918022,0.000260169,0.0002046239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0346303,"threshold_uncertainty_score":0.9995173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1869332711177205,"score_gpt":0.4747217003236842,"score_spread":0.2877884292059638,"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."}}