{"id":"W7025049947","doi":"","title":"Système de suivi des tempêtes de verglas en temps réel = Analysis of real time icing events","year":2003,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Duty to protect; Statistical analysis; Quantitative methodology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004610786,0.0003488006,0.0003170675,0.0009757938,0.0002725256,0.001888338,0.000473979,0.0005418935,0.003654405],"category_scores_gemma":[0.002188408,0.0001598807,0.0004102984,0.0007240857,0.0002828864,0.0007718579,0.000323475,0.0007202156,0.0006573497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008607309,"about_ca_system_score_gemma":0.0003803043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03310885,"about_ca_topic_score_gemma":0.01751459,"domain_scores_codex":[0.9997047,0.00002828096,0.00001394609,0.00008579743,0.000102128,0.00006512576],"domain_scores_gemma":[0.9991506,0.0003716061,0.0001336181,0.00006677839,0.0002113322,0.00006605568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001144483,0.0002036417,0.3469279,0.0007150354,0.0004921589,0.001004326,0.001378211,0.4589227,0.02849509,0.01092079,0.008526687,0.1412689],"study_design_scores_gemma":[0.00001785931,0.0001739122,0.5916096,0.00008929348,0.00006936975,0.000230313,0.001382654,0.3841378,0.008968188,0.001879866,0.01134454,0.00009648834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963325,0.0008059937,0.01353344,0.0003248021,0.00008793207,0.00005864017,0.003275518,0.0003762591,0.01821244],"genre_scores_gemma":[0.9939318,0.0001806465,0.00133276,0.00002877741,0.00001606695,0.00001811082,0.001216113,0.00005418175,0.003221515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03310885,"threshold_uncertainty_score":0.06583232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002794911918152595,"score_gpt":0.1581477680621995,"score_spread":0.1553528561440469,"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."}}