{"id":"W2391621678","doi":"","title":"Temporal and Spatial Distributions of Hails in Heilongjiang in Recent 40 Years and Its Influence on Agriculture and Defense Countermeasures","year":2012,"lang":"en","type":"article","venue":"Heilongjiang nongye kexue","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Spatial distribution; Quarter (Canadian coin); Distribution (mathematics); Geography; Environmental science; Physical geography; Mathematics; Remote sensing","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":[0.000204173,0.0001206264,0.00008802665,0.0006122295,0.0002096677,0.0002484918,0.0001528391,0.00008311782,0.0004844959],"category_scores_gemma":[0.0002594193,0.00008113621,0.0001221012,0.0007506362,0.0002242401,0.0001654354,0.0001919452,0.0001158804,0.00005197288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161768,"about_ca_system_score_gemma":0.0003296253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05660367,"about_ca_topic_score_gemma":0.1128416,"domain_scores_codex":[0.9998959,0.00001241854,0.0000113353,0.00002294986,0.00001717397,0.00004015009],"domain_scores_gemma":[0.9995734,0.00004188986,0.0002155492,0.00001684537,0.00006769923,0.00008460709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003914346,0.000005011022,0.995939,0.00001002227,0.00001404035,0.0001031276,0.0002779919,0.0001430079,0.0006791712,0.00003368901,0.00007086322,0.002684977],"study_design_scores_gemma":[3.823997e-7,0.000008374971,0.9994098,0.00000138381,0.000002747649,0.00003420276,0.0002242788,0.0001002655,0.00004104038,0.000003973737,0.0001725352,0.000001071696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994445,0.0000915366,0.00002857525,0.0000124591,0.000001370171,0.000001609187,0.0002460238,0.000001240759,0.0001724688],"genre_scores_gemma":[0.9993876,0.00009137423,0.00004535205,0.000003107054,0.000002001017,0.000002267457,0.0002867128,3.778224e-7,0.0001811751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05660367,"threshold_uncertainty_score":0.1125484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008766275196681808,"score_gpt":0.2059309089405099,"score_spread":0.1971646337438281,"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."}}