{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004155992,0.0001113986,0.0000861984,0.00001471925,0.0001358501,0.00005517712,0.0001047538,0.0001399433,8.340536e-7],"category_scores_gemma":[0.00006236868,0.00007551515,0.00004247191,0.00005498303,0.00004241051,0.000009853267,0.00003103387,0.00004127969,0.000001559449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002485848,"about_ca_system_score_gemma":0.00008636264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001718668,"about_ca_topic_score_gemma":0.0002616778,"domain_scores_codex":[0.9994051,0.000004469216,0.0001178398,0.0002240739,0.0000729297,0.0001756203],"domain_scores_gemma":[0.9996904,0.000002014408,0.00005206248,0.0001263209,0.0001006927,0.00002848318],"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":[0.00002178863,0.00003020614,0.00004023781,0.00002370628,0.00002094225,0.000003684367,0.0001158245,0.0000896982,0.9898685,0.000067332,0.005821013,0.003897039],"study_design_scores_gemma":[0.000402138,0.0001391959,0.0001763689,0.00002254128,0.00002228046,0.00005421825,0.0004707717,0.000005611932,0.8432739,0.00006647799,0.1552186,0.0001479331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877742,0.006138086,0.002330364,0.002623079,0.0001261599,0.0005064802,0.00003336448,0.00009321384,0.000375048],"genre_scores_gemma":[0.9968639,0.0001863077,0.00171399,0.00005711517,0.0001434429,0.00008255847,0.0002374623,0.000009125342,0.0007061101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1493976,"threshold_uncertainty_score":0.3079418,"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."}}