{"id":"W6963717170","doi":"10.18730/tzq77","title":"Musa sp. MS/NCL/017","year":2006,"lang":"en","type":"other","venue":"International Treaty on Plant Genetic Resources for Food and Agriculture","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Metis; Plant production; Genetic diversity","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":[0.000312702,0.0005802842,0.0004565034,0.003291216,0.001491873,0.0005660718,0.0009601343,0.0003696944,0.1422102],"category_scores_gemma":[0.0005585263,0.0003093035,0.0002461619,0.003360369,0.0001686528,0.0007976449,0.0008011925,0.000484092,0.1257452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222181,"about_ca_system_score_gemma":0.0007650178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02627504,"about_ca_topic_score_gemma":0.06138833,"domain_scores_codex":[0.9997551,0.00001895508,0.00002430262,0.00009133585,0.00008458084,0.00002564808],"domain_scores_gemma":[0.999431,0.00005260135,0.00008559074,0.0001037669,0.0002254268,0.0001016892],"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":[0.0003609782,0.0001932428,0.0048197,0.0007628677,0.00004082746,0.0003612973,0.0005102631,0.0001363885,0.05813002,0.003608262,0.68333,0.2477462],"study_design_scores_gemma":[0.00001792731,0.00002061998,0.009913009,0.00003323676,0.00001570016,0.0001905209,0.00006045535,0.00007078375,0.0026731,0.000223778,0.9867716,0.000009181993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01680443,0.0009055433,0.003740341,0.0008671386,0.0003212071,0.0005416074,0.5105459,0.005458066,0.4608158],"genre_scores_gemma":[0.02795761,0.0006980692,0.01297606,0.0008368986,0.00009112278,0.000696835,0.6481503,0.001378526,0.3072146],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1422102,"threshold_uncertainty_score":0.4757404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008887654778488711,"score_gpt":0.2134084727949942,"score_spread":0.2045208180165055,"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."}}