{"id":"W7097054774","doi":"","title":"AUDREY BOUCHARD RENDEMENT EN BIOMASSE, VALEUR NUTRITIVE ET CONCENTRATION EN SUCRES DU MILLET","year":2010,"lang":"en","type":"article","venue":"","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zea mays; Yield (engineering); Limiting","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":[0.0009061961,0.0003301792,0.0003605813,0.001180912,0.0009498893,0.0008300245,0.0004371479,0.0004676556,0.008933757],"category_scores_gemma":[0.001601628,0.00026595,0.0002125529,0.00069745,0.0003860531,0.0006578966,0.0004405176,0.0009555297,0.002804719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005616546,"about_ca_system_score_gemma":0.000628849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07692059,"about_ca_topic_score_gemma":0.07299451,"domain_scores_codex":[0.9996488,0.00007065737,0.00001228477,0.00008032686,0.0001679079,0.00001997113],"domain_scores_gemma":[0.9987555,0.0004979384,0.00006445178,0.00002643154,0.0005329899,0.0001227766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005342571,0.0003418021,0.08420601,0.0007468848,0.000169343,0.002266368,0.003273742,0.003339905,0.1873459,0.009622248,0.1293723,0.5739729],"study_design_scores_gemma":[0.00007564291,0.001316059,0.3609754,0.0002182482,0.0001119544,0.001580244,0.003424702,0.005278627,0.132256,0.003542831,0.4909718,0.0002484483],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7378818,0.06515542,0.02345382,0.03896369,0.007788546,0.0001918356,0.003317414,0.001005786,0.1222417],"genre_scores_gemma":[0.3879033,0.02087972,0.01290266,0.002443982,0.0007151527,0.00005723533,0.0006755019,0.0003880054,0.5740343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07692059,"threshold_uncertainty_score":0.1529458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007866278597876423,"score_gpt":0.2323149044885838,"score_spread":0.2244486258907074,"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."}}