{"id":"W277599274","doi":"","title":"Landscape Cultivar‘Golden Chain Tree’","year":2007,"lang":"en","type":"article","venue":"Acta Horticulturae Sinica","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tree (set theory); Chain (unit); Variety (cybernetics); Cultivar; Geography; Biology; Botany; Mathematics; Computer science; Combinatorics; Artificial intelligence","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":[0.001436503,0.0001866696,0.0002629238,0.00006486053,0.000696416,0.00009248502,0.0004610437,0.0003368264,0.000457773],"category_scores_gemma":[0.0008461418,0.0001419559,0.0001382467,0.0003518271,0.0003551164,0.0002620799,0.00005679759,0.0003030385,0.000326583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007323791,"about_ca_system_score_gemma":0.0001157557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00079114,"about_ca_topic_score_gemma":0.02521598,"domain_scores_codex":[0.9979733,0.0001660447,0.000383864,0.0003430982,0.0003897054,0.0007439663],"domain_scores_gemma":[0.9984443,0.0007433915,0.0001559198,0.0002544813,0.0001028459,0.0002990937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003915328,0.0008954751,0.3551479,0.0000406984,0.0004207018,0.0004452837,0.0922566,0.00001024486,0.003172857,0.05189668,0.4605396,0.03478242],"study_design_scores_gemma":[0.000553245,0.0001346888,0.4947723,0.00002698606,0.00006284848,0.0000189476,0.00966211,0.00002148141,0.0002619865,0.0007597996,0.4932901,0.0004355129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7088711,0.0001279056,0.000007257071,0.003996782,0.0007605876,0.0002355229,0.00001207333,0.0001861315,0.2858027],"genre_scores_gemma":[0.9902167,0.0002931999,0.0002304058,0.000520793,0.0009079299,0.000008374858,0.00004607841,0.00001294925,0.007763561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2813456,"threshold_uncertainty_score":0.9925713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937360844453556,"score_gpt":0.309316899318053,"score_spread":0.2899432908735174,"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."}}