{"id":"W6926328948","doi":"10.23687/c3d02090-959d-4762-a5ff-77339c7414b6","title":"NTSC TOPIC - Tree Seed Traits","year":2024,"lang":"en","type":"dataset","venue":"GEOSCAN","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Tree (set theory); Germplasm; NTSC; Focus (optics); Mandate; Shrub","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001123907,0.0002954176,0.0004895162,0.0001737908,0.0000444162,0.00004697239,0.000193909,0.0003697997,0.00201584],"category_scores_gemma":[0.00009770678,0.0002053747,0.0001917485,0.0002148041,0.00005159308,0.00002282286,0.00008898046,0.0006395378,0.003955191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008987418,"about_ca_system_score_gemma":0.0001831579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005155905,"about_ca_topic_score_gemma":0.0006693589,"domain_scores_codex":[0.9986674,0.00002264181,0.0002554486,0.0005159383,0.0002254201,0.0003131984],"domain_scores_gemma":[0.9992753,0.00002248494,0.00006074732,0.0004597243,0.00004575968,0.0001359542],"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":[0.0000279812,0.00003408773,0.00000131728,0.0006952049,0.0001259638,0.0001451053,0.000009339132,1.227145e-8,0.004470835,0.000002344092,0.9842058,0.01028201],"study_design_scores_gemma":[0.0002217518,0.0001157004,0.0008848317,0.0003824491,0.0005555729,0.00006928425,0.000007855632,4.96936e-7,0.001712575,0.00002377214,0.9957952,0.0002305399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001157337,0.001673949,6.021139e-8,0.004352409,0.00095962,0.0003503944,0.9905593,0.00007493564,0.0008719403],"genre_scores_gemma":[0.0005488733,0.00030837,0.00004750633,0.001353981,0.002405901,0.000002012415,0.9743613,0.00002733935,0.02094469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02007275,"threshold_uncertainty_score":0.9988965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182748388276107,"score_gpt":0.2505158239069639,"score_spread":0.2386883400242028,"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."}}