{"id":"W4385862953","doi":"10.59962/9780774852067-008","title":"Influences of Climate on Ontario Forests","year":2007,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Environmental science; Forestry; Physical geography; Climatology; Geology","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":[0.0002240164,0.000130269,0.000139536,0.0007385447,0.002411468,0.001475316,0.0002525176,0.0001902083,0.006588086],"category_scores_gemma":[0.0007292409,0.0002133502,0.0001380394,0.001792609,0.0009790414,0.0004000068,0.000505472,0.0002912057,0.0003422457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02771741,"about_ca_system_score_gemma":0.01912952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9880543,"about_ca_topic_score_gemma":0.9987048,"domain_scores_codex":[0.9998341,0.00001949623,0.000005354469,0.00001502692,0.0000692356,0.00005678569],"domain_scores_gemma":[0.9995307,0.00008438559,0.00005360218,0.00001313277,0.0001787759,0.0001395259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005791932,0.00007896466,0.6816002,0.0006377058,0.0001225527,0.001709733,0.02878931,0.005223799,0.006057096,0.02909649,0.09185833,0.1542466],"study_design_scores_gemma":[0.0000120116,0.00001130937,0.9108591,0.0001423259,0.00002357467,0.00007654264,0.004214672,0.0004238747,0.0001911612,0.001109187,0.08291502,0.00002119498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.73988,0.01722684,0.000252916,0.004913197,0.0001437608,0.00003861342,0.005192645,0.00003642662,0.2323155],"genre_scores_gemma":[0.9382405,0.01203958,0.0002799752,0.0002142079,0.00005150938,0.00001418859,0.000584248,0.00002784378,0.04854801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02771741,"threshold_uncertainty_score":0.2011048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282597210670641,"score_gpt":0.173690249764014,"score_spread":0.1454305286969499,"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."}}