{"id":"W151853508","doi":"","title":"CLIMGEN- A CONVENIENT WEATHER GENERATION TOOL FOR CANADIAN CLIMATE STATIONS","year":2003,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weather station; Meteorology; Environmental science; Surface weather observation; Automatic weather station; Wind speed; Precipitation; Computer science; Weather forecasting; Geography","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":[0.0007059762,0.0009903687,0.0005324462,0.002064712,0.000974055,0.001603439,0.001539863,0.0004912196,0.07876616],"category_scores_gemma":[0.003156811,0.0007753758,0.0007072041,0.003143613,0.000268457,0.001321729,0.001244706,0.0008781303,0.01780927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002313208,"about_ca_system_score_gemma":0.003863742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3549351,"about_ca_topic_score_gemma":0.5827124,"domain_scores_codex":[0.9996818,0.00002619561,0.0000241357,0.00006450135,0.0001586702,0.00004467498],"domain_scores_gemma":[0.9991214,0.0001375029,0.00004016274,0.0001796102,0.0004235133,0.00009788961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004095477,0.00005111631,0.01034007,0.0005397488,0.000143069,0.0003889725,0.0007011169,0.02824093,0.005342314,0.01109349,0.7452027,0.1975469],"study_design_scores_gemma":[0.0003063786,0.00003085387,0.01207846,0.0001533931,0.00006191532,0.0002290669,0.0003384387,0.1214774,0.01021063,0.009289903,0.8455852,0.0002383624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01017873,0.0003466178,0.2786996,0.0004931221,0.0003653135,0.0005058003,0.2536076,0.403628,0.05217518],"genre_scores_gemma":[0.1847186,0.001304937,0.4096303,0.0004175945,0.0001467614,0.001230144,0.2800897,0.07337592,0.04908611],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.6450649,"threshold_uncertainty_score":0.7057382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05341706632861717,"score_gpt":0.2545870027775042,"score_spread":0.201169936448887,"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."}}