{"id":"W1000298224","doi":"","title":"Moose and forest problems in Russia.","year":2002,"lang":"en","type":"article","venue":"Alces","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Productivity; Population; Ecology; Resource (disambiguation); Agroforestry; Ecosystem; Forest ecology; Overexploitation; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001235416,0.0001078345,0.0001214618,0.0006311135,0.0009096001,0.0006985242,0.0001127909,0.0003035687,0.002159673],"category_scores_gemma":[0.0004011417,0.000048025,0.00009332001,0.0005731139,0.0006438792,0.0005067646,0.0008526992,0.0003447575,0.0001526505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004997693,"about_ca_system_score_gemma":0.0006094598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00986461,"about_ca_topic_score_gemma":0.01948829,"domain_scores_codex":[0.9998611,0.00004136496,0.000006753288,0.0000136415,0.00002269953,0.00005443952],"domain_scores_gemma":[0.9998465,0.00002156507,0.00005774505,0.000006475949,0.00001584026,0.00005193331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001739437,0.0001583703,0.7606711,0.000362533,0.00007899098,0.003415067,0.01731324,0.001193069,0.001713243,0.06854271,0.005231651,0.1411461],"study_design_scores_gemma":[0.000003840764,0.00008346599,0.9191931,0.0001380883,0.00001933728,0.002127791,0.01081059,0.0002514695,0.0001466847,0.006016739,0.06119884,0.00001004253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366458,0.02099858,0.0003299175,0.002206388,0.00008319742,0.00001221306,0.0001594332,0.000007618517,0.03955693],"genre_scores_gemma":[0.9895831,0.006933417,0.0001220864,0.0001139893,0.00004576769,0.000004681067,0.0001081163,0.000001638421,0.003087252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00986461,"threshold_uncertainty_score":0.01961434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151681070894497,"score_gpt":0.1668130110027309,"score_spread":0.1516449039132811,"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."}}