{"id":"W4394482156","doi":"10.6084/m9.figshare.11749788","title":"cultivated_lentil_4","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Horticulture","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007060159,0.001603945,0.001083835,0.002502988,0.0008601872,0.001710463,0.00183796,0.001388579,0.0865045],"category_scores_gemma":[0.001388386,0.0006241207,0.0008431431,0.004011312,0.0004367743,0.0009848347,0.001539338,0.001670683,0.07648954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596685,"about_ca_system_score_gemma":0.00197908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03826089,"about_ca_topic_score_gemma":0.08358897,"domain_scores_codex":[0.9995702,0.00003537477,0.00002831483,0.0001433828,0.0001134428,0.0001092738],"domain_scores_gemma":[0.9990716,0.000199976,0.00007880379,0.0003098908,0.0002217816,0.00011793],"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":[0.0001987127,0.00004707083,0.0018455,0.00107746,0.00006568704,0.00005303882,0.00004212949,0.0003422659,0.002907932,0.0007338721,0.9880121,0.00467426],"study_design_scores_gemma":[0.0002871016,0.00003315019,0.01651471,0.0002152025,0.00005677068,0.0001457057,0.0001033256,0.0003252611,0.003521641,0.001227702,0.9774956,0.00007374569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004060308,0.00004916235,0.0000913503,0.00003318227,0.00001917553,0.00001020017,0.9978613,0.0006332876,0.0008962351],"genre_scores_gemma":[0.0007634939,0.00005980685,0.0003487861,0.00004426748,0.00000340742,0.0000418959,0.9978696,0.0001752665,0.0006935427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9134955,"threshold_uncertainty_score":0.2893863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03508864204335439,"score_gpt":0.2688694802753349,"score_spread":0.2337808382319805,"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."}}