{"id":"W7067530011","doi":"","title":"Le sorgho et le millet perlé sucrés comme substituts potentiels au maïs fourrager au Canada","year":2019,"lang":"fr","type":"other","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorghum; Plant production; Zea mays; Production system (computer science)","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":[0.0002592707,0.0004388276,0.0003772385,0.0005500881,0.0008760857,0.0009180496,0.0006100028,0.0002107966,0.003757512],"category_scores_gemma":[0.0002120687,0.0002366937,0.0004211248,0.0008509455,0.0003357987,0.0003056413,0.0004067922,0.00053348,0.0005193123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006584698,"about_ca_system_score_gemma":0.004974574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6332279,"about_ca_topic_score_gemma":0.8351367,"domain_scores_codex":[0.9995422,0.00003032819,0.0000164072,0.0001072123,0.000212074,0.00009174657],"domain_scores_gemma":[0.9994061,0.00004689771,0.00006077691,0.00003967344,0.0003297711,0.0001168301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001344115,0.00009027829,0.01310512,0.0002506638,0.00006467362,0.0002201319,0.0003885842,0.0007500522,0.9568649,0.000387421,0.0004071013,0.02612687],"study_design_scores_gemma":[0.00008248556,0.002965245,0.4579666,0.0001017406,0.0003010074,0.0002961594,0.002260645,0.0026544,0.4573561,0.0002547598,0.07564513,0.0001158121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9890324,0.001160223,0.001115456,0.0001001951,0.0000166161,0.00004289198,0.0008831404,0.00008411068,0.007564884],"genre_scores_gemma":[0.9439406,0.001710915,0.005858531,0.000131241,0.000004035466,0.0000562922,0.002076751,0.0000646253,0.04615705],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3667721,"threshold_uncertainty_score":0.7378642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443335368338622,"score_gpt":0.2070807180847524,"score_spread":0.1926473644013662,"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."}}