{"id":"W338481261","doi":"","title":"An assessment of the vulnerability of forest vegetation of Ontario's Clay Belt (Ecodistrict 3E-1) to climate change.","year":2012,"lang":"en","type":"article","venue":"","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Vulnerability (computing); Vegetation (pathology); Physical geography; Vulnerability assessment; Environmental science; Forestry; Earth science; Geology; Geography; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004255075,0.0000636479,0.0001585411,0.000006578068,0.000064126,0.000003238821,0.0001658792,0.00006064634,0.0005704719],"category_scores_gemma":[0.00001318193,0.00002003363,0.00006206652,0.0001433382,0.00005090099,0.0001425379,0.00005630836,0.00005249974,0.000002429751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004846963,"about_ca_system_score_gemma":0.00001650785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01473959,"about_ca_topic_score_gemma":0.2848777,"domain_scores_codex":[0.9992926,0.00008856165,0.0002435461,0.00009934602,0.00009432892,0.0001816639],"domain_scores_gemma":[0.999597,0.00006302575,0.0001475187,0.00007421664,0.00006572441,0.00005248832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000103147,0.000242814,0.9724535,0.00001358808,0.000004761098,1.852936e-8,0.0002775935,0.00001506966,0.01731638,0.003030969,0.00001787976,0.006617111],"study_design_scores_gemma":[0.00005278425,0.0003714927,0.9899413,0.000005405398,0.000008884613,3.024361e-7,0.0001255375,0.0000966856,0.00881153,0.0001119823,0.0004271674,0.00004692575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943396,0.000005641706,0.00000836332,0.000225017,0.0001419345,0.0002722729,0.00001552577,0.000005511092,0.004986153],"genre_scores_gemma":[0.9994547,0.000002027708,0.0002919082,0.0001376531,0.00004905857,0.00002312356,0.00001776064,2.715267e-7,0.00002345514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2701381,"threshold_uncertainty_score":0.9918213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04399211138275919,"score_gpt":0.2813178067784241,"score_spread":0.2373256953956649,"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."}}