{"id":"W6959636340","doi":"10.1139/cjps-2014-365","title":"AAC Sylvia-Arlene rose for rosehip production","year":2015,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Agricultural Practices and Plant Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rose (mathematics); Interspecific competition; Yield (engineering); Positive control; Line drawings","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":[0.0004583213,0.0002918037,0.00030755,0.00001607825,0.0003435173,0.0001555916,0.0003749164,0.0001653076,0.0001072585],"category_scores_gemma":[0.000212729,0.0001122309,0.0001516113,0.0003498955,0.00007354103,0.0002791095,0.0001165735,0.0001535223,0.0002485899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005028895,"about_ca_system_score_gemma":0.00001736782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003375167,"about_ca_topic_score_gemma":0.0005142123,"domain_scores_codex":[0.998096,0.0001083705,0.0003666619,0.0005716595,0.0003485994,0.0005087116],"domain_scores_gemma":[0.9987817,0.0002258246,0.0002481015,0.0001360169,0.0003137371,0.0002945997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003277676,0.0002556003,0.003626717,0.00003153968,0.00004755455,0.000005775474,0.0001562139,0.00004535425,0.886848,0.0004427143,0.06840132,0.03981138],"study_design_scores_gemma":[0.0004838172,0.0009821205,0.04410473,0.00003836869,0.00006665005,0.0001024852,0.0005958232,0.0002907759,0.01210005,0.0008023666,0.9397557,0.0006771501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869018,0.001040323,0.00005331899,0.008676791,0.0009969699,0.0009028592,0.0004622369,0.0002010414,0.0007647182],"genre_scores_gemma":[0.9917784,0.0001839765,0.001365744,0.0004245927,0.002269235,0.00005070411,0.001095697,0.000003723129,0.002827934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.874748,"threshold_uncertainty_score":0.4576642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5462664533340821,"score_gpt":0.2578737944272654,"score_spread":0.2883926589068166,"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."}}