{"id":"W2782220323","doi":"","title":"Phloem transcriptome analysis","year":2003,"lang":"ca","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Transcriptome; Computational biology; Computer science; Phloem; Biology; Genetics; Gene; Gene expression; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384075,0.0004481528,0.0004744322,0.0007102337,0.0005365758,0.0008066419,0.0002480262,0.0004321313,0.008299408],"category_scores_gemma":[0.0002073573,0.0001981547,0.0007586748,0.0007379962,0.0001554603,0.0006787288,0.0003939094,0.001062303,0.005320615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004318941,"about_ca_system_score_gemma":0.0003778379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280768,"about_ca_topic_score_gemma":0.00222832,"domain_scores_codex":[0.9998316,0.000007694608,0.000009316942,0.00008425287,0.00003434957,0.00003288358],"domain_scores_gemma":[0.9999027,0.00001715336,0.000009311893,0.00001784872,0.00003316791,0.00001978577],"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":[0.0000646374,0.000008589453,0.0002627777,0.00006868369,0.00000502359,0.00004278408,0.00003518503,0.00004056115,0.9942059,0.0000869443,0.0005670091,0.004612062],"study_design_scores_gemma":[0.00003822612,0.0002345496,0.07105422,0.00005375925,0.0001030434,0.0008564238,0.0002823987,0.002642813,0.825397,0.0007673061,0.09854347,0.00002692818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6867618,0.01113018,0.1588186,0.00247932,0.001138875,0.0008487653,0.08241315,0.004123698,0.05228558],"genre_scores_gemma":[0.6360916,0.009840583,0.08547533,0.00190531,0.0005151584,0.0008444582,0.1474932,0.001853528,0.1159808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008299408,"threshold_uncertainty_score":0.02776432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396227729575036,"score_gpt":0.2119104455804363,"score_spread":0.197948168284686,"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."}}