{"id":"W9619865","doi":"10.1016/s0304-3835(98)00020-2","title":"Icing event occurrence in Quebec: Statistical analysis of field data","year":2001,"lang":"en","type":"article","venue":"International Journal of Offshore and Polar Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université du Québec à Chicoutimi","funders":"","keywords":"Event (particle physics); Icing; Statistical analysis; Field (mathematics); Environmental science; Meteorology; Geology; Statistics; Geography; Mathematics; Physics","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":[0.004410134,0.0003661432,0.000726473,0.002285813,0.0007035103,0.0007358302,0.001399686,0.0005134367,0.005056958],"category_scores_gemma":[0.01330732,0.0001758864,0.0007284519,0.003923131,0.0007891084,0.0004003156,0.0005794554,0.0007963925,0.0003231221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005521624,"about_ca_system_score_gemma":0.003999131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8067943,"about_ca_topic_score_gemma":0.7287335,"domain_scores_codex":[0.9962715,0.001229511,0.0003258626,0.0008445578,0.0009115802,0.0004168894],"domain_scores_gemma":[0.9857973,0.007753514,0.001938029,0.00109524,0.002809806,0.0006060652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006417482,0.00005843733,0.9714997,0.00009453059,0.000656965,0.0001661074,0.0001766262,0.003501068,0.0004676853,0.0002326103,0.003248729,0.01925576],"study_design_scores_gemma":[0.00002373614,0.0002039733,0.9822833,0.00002304692,0.00006509761,0.00008928475,0.0004528014,0.0131244,0.0001884454,0.00008339455,0.003444235,0.00001832255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586243,0.0008259464,0.009106503,0.0001811545,0.00008390183,0.000470001,0.02594058,0.0003585153,0.00440904],"genre_scores_gemma":[0.9841908,0.0001549395,0.002194569,0.00004753632,0.00001543312,0.0003997983,0.01047703,0.00004525556,0.002474575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932057,"threshold_uncertainty_score":0.3886871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005432799145137,"score_gpt":0.2672529881326674,"score_spread":0.2571986601412161,"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."}}