{"id":"W7000991175","doi":"","title":"Impact des données d'avions AMDAR dans le Nord canadien sur la qualité de l'analyse et des prévisions","year":2022,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pilotage; Beaker; Historical thinking","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":[0.004061737,0.0008954803,0.0009201877,0.002568736,0.001636781,0.00514114,0.001015443,0.0008900279,0.003446355],"category_scores_gemma":[0.007959035,0.0005109078,0.001098678,0.004776267,0.0009477788,0.001343545,0.001531835,0.0009772745,0.0009259779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007392523,"about_ca_system_score_gemma":0.01189055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.816324,"about_ca_topic_score_gemma":0.8675884,"domain_scores_codex":[0.9948509,0.0006910386,0.0002992762,0.000966209,0.00279632,0.0003960582],"domain_scores_gemma":[0.9908139,0.002511355,0.000469974,0.0004982293,0.005375286,0.0003312478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001772588,0.0001980451,0.641819,0.002591898,0.001377581,0.001128956,0.01222375,0.1014511,0.03495269,0.003688005,0.01259888,0.1861975],"study_design_scores_gemma":[0.00008398988,0.0002246513,0.7628516,0.001142328,0.0006664889,0.000200757,0.01920741,0.04575047,0.02045091,0.001366751,0.14767,0.0003846144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409839,0.004345253,0.009180615,0.001237437,0.0002987917,0.0001830699,0.0176641,0.000716557,0.02539021],"genre_scores_gemma":[0.9272078,0.003002019,0.02495684,0.0003615536,0.00003663956,0.0001587369,0.01962886,0.0003431727,0.02430451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.183676,"threshold_uncertainty_score":0.3695154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355773242628977,"score_gpt":0.2062814723618157,"score_spread":0.182723739935526,"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."}}