{"id":"W7098271164","doi":"","title":"MÉLANIE VERREAULT LXRa ET UGT1A3: DEUX PROTÉINES","year":2015,"lang":"en","type":"article","venue":"","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Product (mathematics); Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002249605,0.000507951,0.0003832278,0.0003447023,0.0006253792,0.0008599435,0.0002910635,0.0006444167,0.005533152],"category_scores_gemma":[0.0003220285,0.0002641955,0.0005994204,0.0002980048,0.0004271478,0.000447171,0.0004686744,0.0008204683,0.001472678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012043,"about_ca_system_score_gemma":0.0003053373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003309707,"about_ca_topic_score_gemma":0.002828004,"domain_scores_codex":[0.9998049,0.00003168668,0.00001171747,0.00008175272,0.00004151438,0.0000284562],"domain_scores_gemma":[0.999841,0.00003808484,0.00002729906,0.00001740527,0.00002065091,0.00005564044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006661284,0.00003282791,0.0009176331,0.00006619319,0.00003401441,0.0004182795,0.00009849166,0.0001400265,0.9905951,0.0008348271,0.0004161732,0.005780291],"study_design_scores_gemma":[0.00007483387,0.0002392326,0.01923994,0.00002090425,0.00006125648,0.001868615,0.0001333614,0.003044341,0.9434609,0.0003572314,0.0314677,0.00003169152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665876,0.009809592,0.01462266,0.001565835,0.0003991619,0.00005734011,0.0007753875,0.0003815217,0.005800902],"genre_scores_gemma":[0.938885,0.002749524,0.01133118,0.000327748,0.00008243416,0.00007240666,0.002771112,0.0001617374,0.04361881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005533152,"threshold_uncertainty_score":0.01851028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06940882210380654,"score_gpt":0.247176722415714,"score_spread":0.1777679003119075,"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."}}