{"id":"W2581868085","doi":"10.17660/actahortic.2004.631.12","title":"STAND ESTABLISHMENT TECHNOLOGIES FOR PROCESSING CARROTS","year":2004,"lang":"en","type":"article","venue":"Acta Horticulturae","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business","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":[0.0002688266,0.0006391963,0.0003679787,0.0007883756,0.0004372081,0.0004315289,0.0003415966,0.0003471395,0.005038157],"category_scores_gemma":[0.0002094483,0.0003426835,0.0004816187,0.0004368326,0.0001367922,0.0005258502,0.0003541825,0.00102997,0.00287222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002885883,"about_ca_system_score_gemma":0.0003031025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008434842,"about_ca_topic_score_gemma":0.003625521,"domain_scores_codex":[0.9998073,0.00001524753,0.00001232432,0.00003486321,0.00008612885,0.00004414552],"domain_scores_gemma":[0.9998463,0.00001538779,0.00004201254,0.000013506,0.00003485736,0.00004796614],"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":[0.00002141564,0.00001504421,0.00008707008,0.0001259511,0.000002515231,0.0001179099,0.00001939409,0.00004769546,0.9943547,0.0001225094,0.0001389379,0.004946874],"study_design_scores_gemma":[0.00002971571,0.0008527184,0.007827399,0.00007354836,0.00005195037,0.001142761,0.0001144191,0.0009807149,0.9521499,0.0003380557,0.03639188,0.00004688699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5995054,0.01788245,0.3487473,0.0005139122,0.0007015527,0.001912471,0.002419104,0.003447417,0.02487041],"genre_scores_gemma":[0.6703583,0.007303133,0.2963732,0.0003378095,0.000147136,0.00109446,0.002761762,0.0004632396,0.021161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005038157,"threshold_uncertainty_score":0.01685429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024336568878611,"score_gpt":0.2449445022057637,"score_spread":0.2347011365169776,"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."}}