{"id":"W6917336947","doi":"10.57745/4ngrwr","title":"RNAseq data on DROPS Dent panel","year":2025,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Raw data; Pattern recognition (psychology); Data set; Data visualization","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":[],"consensus_categories":[],"category_scores_codex":[0.002716025,0.00198273,0.001841538,0.002500548,0.001221235,0.002642291,0.002688011,0.001689867,0.06685216],"category_scores_gemma":[0.007679751,0.0007231868,0.001389255,0.004493813,0.0005868239,0.0009824478,0.001919677,0.002321154,0.1145653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288327,"about_ca_system_score_gemma":0.002538661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060695,"about_ca_topic_score_gemma":0.02116821,"domain_scores_codex":[0.9977849,0.0004184852,0.0002153052,0.000734683,0.000584009,0.0002625791],"domain_scores_gemma":[0.9972465,0.0006913902,0.0002478779,0.0009060564,0.0007067446,0.0002014262],"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":[0.0004723314,0.0000711649,0.003444734,0.001940653,0.0001671525,0.00009785314,0.00009948847,0.0006360568,0.004441518,0.001591266,0.9782825,0.008755286],"study_design_scores_gemma":[0.0002684122,0.00004240216,0.008405725,0.0002206892,0.00006727716,0.00008481553,0.00006430409,0.0002249158,0.002658092,0.001426754,0.986499,0.00003770327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004777781,0.00009191711,0.0002566441,0.00004294343,0.0000256424,0.00002215545,0.9975474,0.0005700923,0.0009654982],"genre_scores_gemma":[0.0005840959,0.00003604242,0.0005851953,0.00005362378,0.000004364018,0.0001167489,0.9975808,0.0001608535,0.0008783575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06685216,"threshold_uncertainty_score":0.2236427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2565836310937078,"score_gpt":0.3918028428337408,"score_spread":0.135219211740033,"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."}}