{"id":"W2618241291","doi":"","title":"A robust statistical framework for QTL analysis","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.0166338,0.001752005,0.003334959,0.002754218,0.0009874146,0.002609223,0.004879732,0.001759472,0.005032314],"category_scores_gemma":[0.03969628,0.001424363,0.003536395,0.003887561,0.002773905,0.00181341,0.003469789,0.003852698,0.001664187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246358,"about_ca_system_score_gemma":0.002874885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005718463,"about_ca_topic_score_gemma":0.005317844,"domain_scores_codex":[0.9878722,0.007203841,0.0005534528,0.002110992,0.001858504,0.0004008922],"domain_scores_gemma":[0.9734891,0.0192562,0.001360626,0.002944229,0.002495681,0.0004542135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002229967,0.0001155721,0.001342258,0.0003415287,0.0007538979,0.0003329867,0.0001759659,0.4206651,0.006704384,0.3271463,0.006678201,0.235521],"study_design_scores_gemma":[0.00003602422,0.00006216732,0.0004668505,0.00002451891,0.00007739704,0.00009994033,0.00001321595,0.7970174,0.0008162109,0.1975015,0.003841057,0.0000438114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002201597,0.00006358061,0.9994168,0.00004070828,0.00000964946,0.000006884659,0.000047482,0.000130031,0.00006455711],"genre_scores_gemma":[0.05180889,0.0005423093,0.942422,0.0002419194,0.0003952908,0.0003749444,0.0008230014,0.0007264696,0.002665069],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0166338,"threshold_uncertainty_score":0.08796906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492847968680986,"score_gpt":0.2808257557398236,"score_spread":0.2558972760530138,"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."}}