{"id":"W6991831275","doi":"","title":"Hybride de Tournesol H4 TolÃ©rant Aux Herbicides","year":2014,"lang":"fr","type":"other","venue":"Contact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Plant production; Metribuzin; Interspecific hybridization","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":[0.0001987157,0.0004839482,0.0003535183,0.0003980596,0.0002657044,0.0005621436,0.0003849388,0.0003709988,0.009118922],"category_scores_gemma":[0.0001092252,0.0001804971,0.0004783192,0.0003136754,0.0002126624,0.0001874148,0.0002444627,0.0004886017,0.001713959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009172361,"about_ca_system_score_gemma":0.0005323432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008584114,"about_ca_topic_score_gemma":0.03048416,"domain_scores_codex":[0.9997445,0.00001511827,0.000009261367,0.00008910985,0.0001042814,0.0000377072],"domain_scores_gemma":[0.9999061,0.00001961207,0.00001845107,0.00001310012,0.00002382773,0.00001894977],"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":[0.0001695873,0.00005358991,0.000368358,0.00009731449,0.00001800084,0.00003762328,0.00002002066,0.0001829531,0.9897783,0.0001430671,0.0004267187,0.008704476],"study_design_scores_gemma":[0.0000255345,0.0005044403,0.004024908,0.00001435545,0.00005599136,0.00006489378,0.00005372182,0.0007013172,0.9553071,0.00006027441,0.03917136,0.0000160526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101839,0.004208232,0.03262134,0.0002821844,0.0003451396,0.0005715615,0.004496919,0.001869244,0.04542143],"genre_scores_gemma":[0.7515943,0.002310614,0.02855327,0.0003205027,0.00001913268,0.0004313937,0.005237312,0.0005594188,0.210974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009118922,"threshold_uncertainty_score":0.03050584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962497696537288,"score_gpt":0.310223831336182,"score_spread":0.2805988543708092,"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."}}