{"id":"W3040201586","doi":"10.1002/csc2.20248","title":"From bits to bites: Advancement of the Germinate platform to support prebreeding informatics for crop wild relatives","year":2020,"lang":"en","type":"article","venue":"Crop Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Germplasm; Informatics; Crop; Data sharing; Biology; Data science; Computer science; Ecology; Agronomy; Engineering","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":[0.006739641,0.001098763,0.0008961333,0.003527444,0.001152962,0.004251806,0.002978222,0.001302947,0.01667831],"category_scores_gemma":[0.01770615,0.0008552871,0.001240107,0.002624521,0.001186518,0.01015312,0.01195603,0.003324345,0.01365066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007327914,"about_ca_system_score_gemma":0.001593219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705947,"about_ca_topic_score_gemma":0.003131764,"domain_scores_codex":[0.9972187,0.0006262158,0.0002610968,0.0007137427,0.0009660089,0.0002142848],"domain_scores_gemma":[0.9872442,0.003337735,0.0008493593,0.005398627,0.0013562,0.001813803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002938248,0.0009563109,0.03353261,0.001638578,0.0003297369,0.001949654,0.009168113,0.004357156,0.04183434,0.03327758,0.3600778,0.5099399],"study_design_scores_gemma":[0.000489336,0.0006304281,0.03508525,0.0007460963,0.0001912145,0.001083022,0.001953923,0.0395862,0.03543715,0.06279037,0.8214629,0.0005442287],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06277087,0.001636604,0.4228472,0.005170259,0.00127964,0.001255773,0.05502303,0.4073062,0.04271052],"genre_scores_gemma":[0.2701682,0.001684829,0.47284,0.00347659,0.0007158435,0.0020792,0.1556105,0.06667399,0.02675083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01667831,"threshold_uncertainty_score":0.05579448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0576429147853527,"score_gpt":0.2943085746319349,"score_spread":0.2366656598465822,"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."}}