{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001517506,0.002592941,0.001803588,0.005393183,0.0006728083,0.003550142,0.002254495,0.002364641,0.2674205],"category_scores_gemma":[0.01127541,0.0008797688,0.001612469,0.008608224,0.0004584584,0.001562025,0.001453183,0.001830719,0.1977133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134414,"about_ca_system_score_gemma":0.00279821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03219057,"about_ca_topic_score_gemma":0.03815399,"domain_scores_codex":[0.9985568,0.0003395116,0.0001695268,0.0005085805,0.0002473142,0.0001782855],"domain_scores_gemma":[0.9954214,0.002395841,0.0003732472,0.0007169781,0.0007812885,0.0003113429],"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":[0.00009095285,0.00001841742,0.0007657456,0.0007608274,0.00004939751,0.00001691877,0.00001541807,0.0003850576,0.00006555094,0.0004842667,0.9953216,0.002025909],"study_design_scores_gemma":[0.0005188126,0.00002994544,0.00363406,0.0005930897,0.00005099942,0.00007792348,0.00005474931,0.0005562589,0.000253578,0.001851736,0.992346,0.00003281372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004343328,0.00006241325,0.00003391275,0.00004512114,0.00001364221,0.000004745797,0.9990489,0.0002628242,0.000484897],"genre_scores_gemma":[0.0003869546,0.0000782748,0.0002058237,0.0000830848,0.00001010104,0.00004829591,0.9983366,0.0001367427,0.0007141538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7325795,"threshold_uncertainty_score":0,"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."}}