{"id":"W7043123003","doi":"","title":"Soja MON 87701 Résistant Aux Insectes","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":"Food supply; Netting","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":[0.0003229001,0.0009251992,0.0005636447,0.0009471844,0.001256248,0.001363416,0.0006195259,0.0007706901,0.1417362],"category_scores_gemma":[0.0002349021,0.000315283,0.0004827351,0.001082987,0.0006626753,0.0003942694,0.000589046,0.000883662,0.04112658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00397253,"about_ca_system_score_gemma":0.004291251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1578061,"about_ca_topic_score_gemma":0.4484217,"domain_scores_codex":[0.9996772,0.00001416724,0.000005328975,0.00005634563,0.0001905903,0.00005638966],"domain_scores_gemma":[0.9997247,0.00002175956,0.00003078897,0.00003206031,0.0001312706,0.0000594881],"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":[0.0009889432,0.0001717143,0.00228573,0.001246035,0.00005599176,0.0004106249,0.0002538668,0.0006706768,0.3568393,0.006955825,0.3028744,0.327247],"study_design_scores_gemma":[0.00002617458,0.0001234835,0.008256632,0.0001118929,0.00002701969,0.000193266,0.00009961012,0.0003126536,0.04057688,0.0002474441,0.9500091,0.00001576437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03897116,0.01799608,0.01251186,0.002655598,0.001514613,0.000390914,0.01203032,0.003804375,0.9101251],"genre_scores_gemma":[0.03558442,0.006351959,0.004440658,0.0004286086,0.00009563725,0.00007251923,0.003888487,0.000543338,0.9485944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1578061,"threshold_uncertainty_score":0.4741548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239168047465467,"score_gpt":0.3042689853352237,"score_spread":0.271877304860569,"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."}}