{"id":"W7052592828","doi":"","title":"Shades of Green (VII).","year":2019,"lang":"en","type":"other","venue":"infoteca-e (Brazilian Agricultural Research Corporation)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biosafety; Commercialization; Hectare; Agriculture; China; Crop; Genetically modified crops","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":[0.0003038699,0.0004322878,0.0002470429,0.0007777673,0.002425641,0.002245942,0.0005609647,0.0008737751,0.2670149],"category_scores_gemma":[0.0007738718,0.0001758022,0.0004830979,0.0006925787,0.0008769376,0.001228498,0.002334387,0.001260716,0.07829657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165369,"about_ca_system_score_gemma":0.0008326811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008512341,"about_ca_topic_score_gemma":0.04151479,"domain_scores_codex":[0.9996384,0.00004824953,0.00001178095,0.00007975065,0.000144589,0.00007724311],"domain_scores_gemma":[0.9996831,0.00002632336,0.00002972819,0.00004444073,0.0001020986,0.0001143354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001735857,0.00008028017,0.002107931,0.0004938182,0.00001630638,0.0009064949,0.002897361,0.0001196242,0.008645452,0.07232603,0.6159495,0.2962837],"study_design_scores_gemma":[0.000003085931,0.00001037618,0.0007954806,0.00005129259,0.000002333376,0.0001918344,0.0004679814,0.00002241944,0.0003611455,0.002004835,0.996085,0.000004246795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006762267,0.003338026,0.002065472,0.004675057,0.002751431,0.00009455969,0.001981136,0.0007887752,0.9775433],"genre_scores_gemma":[0.09862236,0.002787603,0.003783959,0.004152172,0.0005154384,0.00007767216,0.001210145,0.0008281425,0.8880226],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2670149,"threshold_uncertainty_score":0.8932538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03298992854864191,"score_gpt":0.3088342173892636,"score_spread":0.2758442888406217,"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."}}