{"id":"W2295345835","doi":"","title":"Натурализация аронии Мичурина в лесах европейской части России","year":2015,"lang":"ru","type":"article","venue":"Лесохозяйственная информация","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Biodiversity; Invasive species; Alien; Shrub; Ecology; Resistance (ecology); Biology; Introduced species; Range (aeronautics); Demography","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":[0.0006161137,0.0003493259,0.000453798,0.00121182,0.001036061,0.001900226,0.0004515045,0.0005020978,0.008261481],"category_scores_gemma":[0.0008483608,0.0004602072,0.0004340266,0.001397254,0.0008068071,0.0007434401,0.0007386573,0.0009853274,0.004059282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000677723,"about_ca_system_score_gemma":0.001060143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511035,"about_ca_topic_score_gemma":0.003230638,"domain_scores_codex":[0.9990286,0.00009810059,0.0000662582,0.0001999503,0.0004964609,0.0001107011],"domain_scores_gemma":[0.9994872,0.0001049174,0.0001302284,0.00007953147,0.0001446193,0.00005343739],"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":[0.0003069467,0.0001847342,0.004840612,0.001298663,0.00006551003,0.001173619,0.000690006,0.002824086,0.59618,0.0373129,0.005101046,0.3500219],"study_design_scores_gemma":[0.00004370562,0.0004637473,0.006844704,0.000154957,0.000106258,0.001988054,0.0005568365,0.003070453,0.460857,0.008322679,0.5174036,0.0001880057],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4412667,0.09557535,0.1543436,0.002337917,0.002132762,0.0005571716,0.003250114,0.00133136,0.299205],"genre_scores_gemma":[0.8897816,0.02442839,0.05364295,0.0002428254,0.0002961876,0.0004560508,0.0009391572,0.0002291202,0.0299837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008261481,"threshold_uncertainty_score":0.02763736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06394805423093498,"score_gpt":0.219220301572573,"score_spread":0.155272247341638,"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."}}