{"id":"W4287242445","doi":"10.15454/3q89-7f93","title":"IRIGAM - Identification de résistances à l’infection des grains par Fusarium graminearum et à l’accumulation des mycotoxines au sein des variétés de blé françaises grâce à la mise en place de nouvelles technologies de phénotypage.","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office National de l’Eau et des Milieux Aquatiques; Ministère de l'Agriculture et de l'Alimentation; Ministry of Agriculture - Saskatchewan","keywords":"Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004090795,0.0004732909,0.000305195,0.000673738,0.0002400068,0.000596099,0.000274401,0.0004792205,0.002367486],"category_scores_gemma":[0.0003344252,0.0002179453,0.0004152903,0.0003418941,0.0001672145,0.0002071488,0.0004642617,0.0004770544,0.00107317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000331723,"about_ca_system_score_gemma":0.0001916441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451808,"about_ca_topic_score_gemma":0.001615251,"domain_scores_codex":[0.9996984,0.00005005988,0.0000155717,0.0001012057,0.00008474769,0.00005003497],"domain_scores_gemma":[0.9998403,0.00002982357,0.00003149459,0.00004168502,0.00003391897,0.00002279437],"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":[0.0001515278,0.00003532134,0.004083152,0.00006750443,0.00001416132,0.0000697721,0.00007226678,0.00006273291,0.9877616,0.0001167151,0.0001228757,0.007442367],"study_design_scores_gemma":[0.00006498749,0.000779677,0.171095,0.0000287297,0.0001337183,0.001336992,0.000231431,0.001474469,0.8095002,0.0002000508,0.0151346,0.00002014809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774893,0.001998563,0.01092651,0.000135063,0.0000635166,0.0001117343,0.003364897,0.0003528785,0.005557482],"genre_scores_gemma":[0.9549516,0.0007626032,0.02202703,0.00008497961,0.00001501555,0.0001468459,0.01024628,0.0001040596,0.0116617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002367486,"threshold_uncertainty_score":0.007920086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194026464073817,"score_gpt":0.2701024416041518,"score_spread":0.2481621769634136,"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."}}