{"id":"W7047690843","doi":"","title":"Herbicide Tolerant Sunflower Hybrid H4","year":2014,"lang":"en","type":"other","venue":"Contact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech)","topic":"Photocathodes and Microchannel Plates","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sunflower; Food safety; Agriculture","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":[0.0001950611,0.000369491,0.0001589753,0.0007030704,0.0005059538,0.000357358,0.0005245243,0.0003742857,0.01387209],"category_scores_gemma":[0.0000817266,0.0001160194,0.0002853163,0.0003153626,0.0001824673,0.0001725781,0.0002756715,0.0005803942,0.002304341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251976,"about_ca_system_score_gemma":0.0007746621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01527759,"about_ca_topic_score_gemma":0.03743394,"domain_scores_codex":[0.9997892,0.000008297632,0.000005976196,0.00003368887,0.0001229078,0.00004001912],"domain_scores_gemma":[0.999891,0.00001523533,0.00002499007,0.00001559202,0.00002377619,0.00002935029],"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":[0.0002215529,0.00013658,0.001480965,0.0000644484,0.00001698147,0.000291132,0.00003449112,0.0002360687,0.9633367,0.00158043,0.005444679,0.02715594],"study_design_scores_gemma":[0.00006613608,0.0004945375,0.02783278,0.00003028996,0.00004627662,0.0007452525,0.0001097366,0.001988387,0.7346203,0.0004543207,0.2335661,0.00004600934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8358282,0.0009129287,0.01986174,0.0007887659,0.000363001,0.0004480699,0.01498176,0.003108128,0.1237074],"genre_scores_gemma":[0.460963,0.0006868846,0.01438337,0.0003848571,0.00002551176,0.0001785492,0.01857514,0.0005876959,0.5042151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01527759,"threshold_uncertainty_score":0.04640675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589055438384191,"score_gpt":0.2595590776560366,"score_spread":0.2436685232721947,"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."}}