{"id":"W2350277287","doi":"","title":"Influence of Freezing Disaster on Forest Germchit and Its Countermeasures Discussion","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Forestry; Agroforestry; Physical geography; Geography","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":[0.0004848898,0.0001716661,0.0002614467,0.0003600537,0.0005088099,0.0005198038,0.0003524779,0.0002968159,0.003664758],"category_scores_gemma":[0.001139862,0.00004409259,0.0003179253,0.000295109,0.0004864564,0.0003221759,0.000270149,0.0003876169,0.00007634627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006951288,"about_ca_system_score_gemma":0.0008653401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01951694,"about_ca_topic_score_gemma":0.02652515,"domain_scores_codex":[0.9998253,0.00003184037,0.00000969555,0.00002833032,0.00002098299,0.00008395094],"domain_scores_gemma":[0.9988201,0.0004540303,0.0002005947,0.00007574044,0.0001993195,0.0002501479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001903533,0.0002733364,0.9364792,0.0001570789,0.0002628184,0.001069393,0.0007115194,0.002926944,0.02975289,0.001535067,0.001339607,0.02358856],"study_design_scores_gemma":[0.000009585221,0.0001689246,0.9942737,0.000006014305,0.00005149091,0.00006425288,0.00102215,0.0005776154,0.002550186,0.0002848855,0.000983689,0.000007501045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971481,0.0001345551,0.00007490048,0.0002422793,0.00001092227,0.000007425819,0.00008707702,0.000007266533,0.002287384],"genre_scores_gemma":[0.999474,0.00004828845,0.00003488831,0.00004781996,0.000009701464,0.000001713683,0.00003543042,0.000001002802,0.0003473152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01951694,"threshold_uncertainty_score":0.03880668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099312089819654,"score_gpt":0.2680648332066639,"score_spread":0.2470717123084673,"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."}}