{"id":"W7106516197","doi":"10.5281/zenodo.17699004","title":"White lupin breeding: integrating phenotypic selection under organic conditions with marker assisted selection","year":2025,"lang":"","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botanical Research and Chemistry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Peter's Hospital","funders":"Bundesamt für Landwirtschaft; European Commission","keywords":"Selection (genetic algorithm); White (mutation); Phenotype; Organic farming; Marker-assisted selection; Yield (engineering)","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":[0.0007474077,0.0005544027,0.0003482223,0.0007494579,0.000272361,0.0006939456,0.000443796,0.0003361925,0.003169762],"category_scores_gemma":[0.0003312388,0.0001815808,0.000213086,0.000758313,0.0002277011,0.0002742242,0.0008821658,0.0004205313,0.001352758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002241937,"about_ca_system_score_gemma":0.0002670394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110182,"about_ca_topic_score_gemma":0.002450653,"domain_scores_codex":[0.9995455,0.00009784751,0.00001865897,0.0001087186,0.0001719732,0.00005725609],"domain_scores_gemma":[0.9997717,0.000044244,0.00006538708,0.00003620663,0.00002404775,0.00005836801],"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":[0.0002448751,0.0001470597,0.001556056,0.00006662781,0.00002845927,0.0001440112,0.00003317255,0.0003855873,0.9246431,0.0009699828,0.001033748,0.07074738],"study_design_scores_gemma":[0.0004242396,0.001412844,0.07996793,0.00005559627,0.0002137843,0.001688626,0.0001139148,0.01463803,0.8066908,0.002058879,0.09260393,0.0001314025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.587398,0.003167614,0.3626909,0.0007158851,0.0002453951,0.0007973399,0.004212238,0.006950156,0.03382247],"genre_scores_gemma":[0.716145,0.002570153,0.2387635,0.0003110498,0.0002329486,0.0004331951,0.00941995,0.001419205,0.03070503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003169762,"threshold_uncertainty_score":0.01060396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488385453704663,"score_gpt":0.2374170485454696,"score_spread":0.212533194008423,"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."}}