{"id":"W2900789381","doi":"10.4095/294868","title":"Plant Hardiness Zones of parts of southern Ontario and Québec","year":2014,"lang":"en","type":"report","venue":"","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hardiness (plants); Geography; Cartography; Physical geography; Forestry; Environmental science; Horticulture; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000120994,0.0003646127,0.0001725388,0.002688854,0.002371655,0.001102424,0.0005761253,0.000136819,0.01110788],"category_scores_gemma":[0.0004187304,0.0001907384,0.0002097003,0.005406836,0.000489431,0.0002673971,0.0005994798,0.0002105532,0.0006608715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02408747,"about_ca_system_score_gemma":0.01830094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976816,"about_ca_topic_score_gemma":0.9992729,"domain_scores_codex":[0.9997341,0.000009329673,0.000008504523,0.00003568545,0.0001091516,0.0001032628],"domain_scores_gemma":[0.9993787,0.00003227767,0.00008567716,0.00002546409,0.0002984367,0.0001794384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003702484,0.0000809936,0.7734253,0.0006047048,0.000157996,0.001178382,0.01190847,0.002358364,0.006405534,0.004960771,0.05941896,0.1391302],"study_design_scores_gemma":[0.000005272293,0.000006831925,0.9743013,0.00003425021,0.000006288164,0.00005563612,0.001613589,0.0002643648,0.0001219629,0.00006520241,0.02351314,0.00001203174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8130839,0.002111197,0.0007013697,0.0005322208,0.00002487354,0.0002815139,0.07496572,0.000217112,0.108082],"genre_scores_gemma":[0.9234334,0.001039063,0.001235075,0.00007521778,0.000006110705,0.0001064608,0.0175939,0.00005004562,0.05646062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02408747,"threshold_uncertainty_score":0.1747677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639786091194666,"score_gpt":0.2198422266021037,"score_spread":0.2034443656901571,"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."}}