{"id":"W7071982492","doi":"","title":"Trends and variability of temperature and precipitation in Northwestern Ontario during the 20th century : implications for forest management","year":2017,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Climate change; Context (archaeology); Global warming; Ecosystem; Range (aeronautics); Trend analysis; Air temperature; Mean radiant temperature; Effects of global warming","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":[0.0001351101,0.0000932878,0.0001037287,0.0006608753,0.0008083505,0.0006780464,0.0002718802,0.0001373878,0.00190767],"category_scores_gemma":[0.0005934674,0.00009590586,0.0001352252,0.002319039,0.0003457639,0.0002405073,0.0003431093,0.0001621402,0.0002000457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01358916,"about_ca_system_score_gemma":0.008622454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857203,"about_ca_topic_score_gemma":0.9958206,"domain_scores_codex":[0.9998591,0.000007090031,0.000008283806,0.00002251841,0.00004697717,0.00005609085],"domain_scores_gemma":[0.9996048,0.00002186222,0.0001110241,0.00001175277,0.0001645732,0.00008608144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005377952,0.0000104264,0.9833114,0.0000712821,0.00002815244,0.0001354979,0.001440863,0.0004850926,0.0005926049,0.0003027683,0.003091814,0.01047638],"study_design_scores_gemma":[0.00000138653,0.000002052979,0.9971348,0.000008659054,0.000003644408,0.00001231012,0.0005249144,0.0001093001,0.00002447973,0.00001997596,0.002156267,0.000002248162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782568,0.001928466,0.0001039728,0.001139198,0.00002411158,0.00001180358,0.009748834,0.00001615664,0.008770704],"genre_scores_gemma":[0.9896042,0.001955633,0.0001558668,0.00005000531,0.00001599701,0.000008230511,0.002533369,0.000006287724,0.005670343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01427966,"threshold_uncertainty_score":0.09859669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808777231214292,"score_gpt":0.2175485295627795,"score_spread":0.1994607572506366,"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."}}