{"id":"W1968507901","doi":"10.1007/bf03262085","title":"On Molecular Diagnostics and Transgenic Crops","year":2000,"lang":"en","type":"letter","venue":"Molecular Diagnosis","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Motorola (Canada)","funders":"","keywords":"Molecular medicine; Transgene; Human genetics; Biotechnology; Genetically modified crops; Medical laboratory; Biology; Computational biology; Medicine; Genetics; Pathology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001352307,0.0005770784,0.0004953872,0.00006099312,0.0001783834,0.000260657,0.0007200912,0.001117295,0.002897487],"category_scores_gemma":[0.0002197074,0.0002747591,0.0002950751,0.0003846638,0.0002117743,0.00002984927,0.0001342987,0.001528273,0.0004196394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000507665,"about_ca_system_score_gemma":0.00002246794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001958939,"about_ca_topic_score_gemma":0.00003828492,"domain_scores_codex":[0.9963448,0.0003489018,0.0003497577,0.001075518,0.0009761172,0.0009049092],"domain_scores_gemma":[0.9982584,0.001074755,0.00006807673,0.0002814241,0.00007477296,0.000242647],"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":[0.00003133563,0.0002861985,0.0003363701,0.00009961949,0.000204955,0.004849538,0.00004073379,0.00003684168,0.05676265,0.0002420484,0.8039054,0.1332044],"study_design_scores_gemma":[0.0002958582,0.001062093,0.004124012,0.000152317,0.0001732856,0.00002527753,0.000005578057,0.00001070172,0.07759271,0.004301053,0.9111337,0.001123386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.5410265,0.002971002,0.00002117312,0.4534908,0.00009914445,0.0007729993,0.0003029605,0.0001087157,0.001206675],"genre_scores_gemma":[0.289328,0.0078608,0.0002166981,0.6999133,0.0008134603,0.0006156906,0.0008453944,0.00003296724,0.0003736294],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2516985,"threshold_uncertainty_score":0.9999704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396598974110652,"score_gpt":0.2161270258172374,"score_spread":0.2021610360761308,"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."}}