{"id":"W7001121886","doi":"","title":"Insect Resistant Maize 5307","year":2014,"lang":"en","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":"Food safety; Animal health; Zea mays; Agriculture; Event (particle physics)","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":[0.0002939748,0.000608961,0.0002434038,0.0008109976,0.0006706972,0.0007003823,0.0006507756,0.0003612569,0.07370984],"category_scores_gemma":[0.0001541714,0.0002226075,0.0003854223,0.0005146784,0.0003160826,0.000180242,0.0004325406,0.0007959275,0.02501537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232426,"about_ca_system_score_gemma":0.001404361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03352846,"about_ca_topic_score_gemma":0.1253731,"domain_scores_codex":[0.9996243,0.0000192319,0.000008249101,0.00004756973,0.0002334285,0.00006722419],"domain_scores_gemma":[0.9998651,0.0000147974,0.00002045924,0.0000256026,0.00004276807,0.0000312923],"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":[0.0008180965,0.0004820258,0.003006432,0.0004173334,0.00004637798,0.00063534,0.0001712784,0.0002359758,0.7079493,0.008521705,0.1224258,0.1552903],"study_design_scores_gemma":[0.00007172703,0.0008104034,0.02133117,0.00009026372,0.00004494088,0.001025639,0.0001123318,0.0005054206,0.1486617,0.0003959981,0.8269159,0.0000344004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1522702,0.003544764,0.01206313,0.001475182,0.0003557678,0.0007716753,0.03446624,0.003570043,0.791483],"genre_scores_gemma":[0.1119731,0.002918082,0.009447029,0.0005806358,0.0000206447,0.0001540196,0.03523807,0.0004688157,0.8391996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07370984,"threshold_uncertainty_score":0.246584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03502035275349889,"score_gpt":0.3022434770064799,"score_spread":0.2672231242529809,"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."}}