{"id":"W2924553449","doi":"10.1016/j.biosystemseng.2019.02.012","title":"A novel automated transplanting system for plant tissue culture","year":2019,"lang":"en","type":"article","venue":"Biosystems Engineering","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Micropropagation; Transplanting; Throughput; Engineering; Agriculture; Process (computing); Agricultural engineering; Sowing; Biotechnology; Tissue culture; Horticulture; Computer science; Biology; Operating system; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008595106,0.0001515528,0.000159977,0.00003035605,0.00004298542,0.0000273884,0.00009550227,0.0001895117,7.631991e-7],"category_scores_gemma":[0.000008137557,0.0001249251,0.00005367488,0.00004841393,0.000002983605,0.000004275282,0.00001058217,0.00003982499,0.00001272471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001914351,"about_ca_system_score_gemma":0.00002184562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002955877,"about_ca_topic_score_gemma":0.00001891239,"domain_scores_codex":[0.9993179,0.000005248939,0.0001759288,0.0002331817,0.00007161686,0.0001961375],"domain_scores_gemma":[0.9997188,0.000005399303,0.0000495125,0.0001413749,0.00003756973,0.00004728289],"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":[0.00001292146,0.000007095593,0.00004261051,0.0006130553,0.00004939622,0.000001672917,0.00006172853,0.001887281,0.9958079,0.0001254236,0.001370913,0.00002000228],"study_design_scores_gemma":[0.000460091,0.00007834272,0.00002754195,0.0002181679,0.00001733684,0.0002235373,0.00004818002,0.01501123,0.8215633,1.506031e-8,0.162157,0.0001953132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626052,0.003057972,0.02889371,0.00003331002,0.002635332,0.001276415,0.0004981065,0.0005822993,0.0004176181],"genre_scores_gemma":[0.9964318,0.0000105372,0.001098226,0.000007971059,0.000651506,0.00004111381,0.0008451708,0.00002684692,0.0008868112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1742446,"threshold_uncertainty_score":0.5094296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006009091347638666,"score_gpt":0.1990334738054295,"score_spread":0.1930243824577909,"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."}}