{"id":"W2903117039","doi":"","title":"Antarctica helped shape Southern Hemisphere plant distribution patterns","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Marine Biosciences","funders":"","keywords":"Southern Hemisphere; Distribution (mathematics); Climatology; Geology; Physical geography; Geography; Meteorology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005808112,0.0004186139,0.000389182,0.0009643505,0.001364821,0.002062116,0.0004115565,0.0008631303,0.01390598],"category_scores_gemma":[0.001407525,0.0003273009,0.0005485098,0.001627795,0.0007661296,0.0008464771,0.001133931,0.0006796424,0.001813212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784256,"about_ca_system_score_gemma":0.001489795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04297944,"about_ca_topic_score_gemma":0.08644923,"domain_scores_codex":[0.9997299,0.00005676451,0.00001350169,0.00008285649,0.00003446723,0.00008250441],"domain_scores_gemma":[0.9993837,0.0001184111,0.0001060667,0.0001146946,0.0001281051,0.0001491223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001882916,0.0000742355,0.6978518,0.001041664,0.0009923879,0.001405197,0.006509089,0.007734923,0.1614046,0.01262368,0.02846371,0.08001588],"study_design_scores_gemma":[0.00007915885,0.00004822211,0.9201788,0.00008941578,0.000262792,0.0002380764,0.003353707,0.001961023,0.004350681,0.002888141,0.06649659,0.00005333677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634717,0.001453259,0.001587303,0.002883831,0.0002990994,0.00002674484,0.003913152,0.0001419287,0.02622298],"genre_scores_gemma":[0.9942703,0.0005161559,0.0006181193,0.0004805485,0.00005766172,0.00001329911,0.0006804885,0.0001393869,0.003224171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04297944,"threshold_uncertainty_score":0.08545858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180763454782919,"score_gpt":0.2153810798145782,"score_spread":0.203573445266749,"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."}}