{"id":"W6955068328","doi":"10.57907/mirri/f4vylb","title":"MIRRI0044841","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Natural (archaeology)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000217042,0.0003473254,0.0005099831,0.0001744248,0.0001144496,0.0000317,0.0003071235,0.0002783373,0.9561761],"category_scores_gemma":[0.00109685,0.0003220599,0.0002555818,0.0001672194,0.00004556484,0.00002791408,0.0003706579,0.000985494,0.1717436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001546885,"about_ca_system_score_gemma":0.0003723986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008700701,"about_ca_topic_score_gemma":0.00004599851,"domain_scores_codex":[0.9979947,0.00009061118,0.0003892085,0.0005025925,0.0006071971,0.0004157105],"domain_scores_gemma":[0.9981943,0.0003545377,0.0001840339,0.0008921123,0.00005905305,0.0003159845],"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":[0.0001206042,0.0003056761,0.0001933303,0.0001352041,0.0001173176,0.001425848,0.00001058017,0.000008648285,0.00001291397,0.000008768234,0.9963593,0.00130177],"study_design_scores_gemma":[0.001162529,0.0001911095,0.0002265571,0.0001629852,0.0004114285,0.0002515517,0.00003913988,0.000009582777,0.00008133182,0.0000412042,0.9971104,0.0003122268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001613151,0.001812652,0.00001596113,0.001351539,0.0007742593,0.0003254003,0.9953232,0.0001389519,0.00009670478],"genre_scores_gemma":[0.0000461532,0.0006404138,0.0003991609,0.001937241,0.0007388628,0.00005559305,0.9917462,0.00004128318,0.004395071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7844325,"threshold_uncertainty_score":0.9999232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806043140440346,"score_gpt":0.2777160613664487,"score_spread":0.2596556299620453,"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."}}