{"id":"W4402287989","doi":"10.20944/preprints202409.0305.v1","title":"Development of a Feasible and Efficient In Vitro Rescue Protocol for Immature <em>Prunus </em>spp. Embryos","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural University of Athens; Bursa Uludağ Üniversitesi; National and Kapodistrian University of Athens; University of Victoria","keywords":"In vitro; Protocol (science); Prunus; Biology; Cell biology; Chemistry; Horticulture; Genetics; Medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136503,0.0003957367,0.0006292897,0.00006169744,0.0002444822,0.0000421998,0.0004602303,0.0005159072,0.0002055422],"category_scores_gemma":[0.00025328,0.0001923173,0.0001833098,0.0003215413,0.0001158879,0.00003373771,0.002279172,0.0005813084,0.0001060815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055695,"about_ca_system_score_gemma":0.0001490243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003343926,"about_ca_topic_score_gemma":0.001132285,"domain_scores_codex":[0.997281,0.0001247703,0.0008146106,0.001053219,0.0002955683,0.0004308883],"domain_scores_gemma":[0.9989117,0.0002301013,0.0002958377,0.0002175249,0.0002484392,0.00009639755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002709618,0.001038194,0.05731734,0.002682586,0.0004366598,0.00002511445,0.005721621,0.0001677705,0.9116392,0.0008322322,0.0007246588,0.01670501],"study_design_scores_gemma":[0.0006856138,0.0000586223,0.8742939,0.0005754021,0.00004353795,0.000005413581,0.0005780007,0.0002187544,0.08660338,0.002030661,0.03438485,0.0005219238],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549776,0.0002342526,0.000002625184,0.0008707865,0.000204276,0.0425109,0.00006840864,0.0001020805,0.001029051],"genre_scores_gemma":[0.8373737,0.00002337213,0.0008148067,0.0001381644,0.0001145807,0.160232,0.0000502341,0.000005501067,0.001247563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8250358,"threshold_uncertainty_score":0.7842472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09936122307186238,"score_gpt":0.327653654502214,"score_spread":0.2282924314303516,"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."}}