{"id":"W6935857498","doi":"10.57745/kj5r0y","title":"Fig.1B.tab","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00178228,0.0004414594,0.0007583513,0.0001485702,0.00008032293,0.00005807709,0.001764592,0.001430759,0.0001528817],"category_scores_gemma":[0.0185506,0.0004028362,0.0001049279,0.0007146988,0.000113647,0.0001569585,0.001250911,0.002857466,0.01520918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611848,"about_ca_system_score_gemma":0.000483678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344721,"about_ca_topic_score_gemma":0.000271473,"domain_scores_codex":[0.9970829,0.0002814968,0.000453156,0.001028332,0.0005976451,0.0005563971],"domain_scores_gemma":[0.9927136,0.001990061,0.0001989837,0.004679286,0.0001061978,0.0003118763],"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":[0.00005369802,0.0001405884,0.00006495294,0.000594047,0.0001240152,0.0003917877,0.000007966473,8.561634e-7,0.000006669997,0.000002673783,0.9891031,0.009509645],"study_design_scores_gemma":[0.0008474712,0.00009690469,0.001364205,0.001332714,0.0003354615,0.00005648283,0.00001480403,0.0002085019,0.00001599282,0.00006598919,0.9952531,0.0004083227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001380507,0.002625094,0.0001407253,0.001006953,0.0009163223,0.0004143393,0.9941217,0.0002980299,0.000463086],"genre_scores_gemma":[0.000002043411,0.008769019,0.003868462,0.001234658,0.001681464,0.00004170649,0.9793668,0.00007529168,0.004960513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01676832,"threshold_uncertainty_score":0.9998656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3305839385901527,"score_gpt":0.4336621428801813,"score_spread":0.1030782042900286,"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."}}