{"id":"W1553479985","doi":"","title":"Analyse des extrêmes simulés par le modèle régional canadien du climat sur différentes régions de l'Amérique du Nord","year":2014,"lang":"fr","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; 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":[0.0005780884,0.0005510466,0.000431834,0.0003301669,0.0003182452,0.0008020389,0.0006221238,0.0005672165,0.001461047],"category_scores_gemma":[0.001365489,0.0002584363,0.0009320519,0.0005893419,0.0002396103,0.0003840703,0.0003921634,0.0006170016,0.000242225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008052522,"about_ca_system_score_gemma":0.001314332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1411069,"about_ca_topic_score_gemma":0.09439172,"domain_scores_codex":[0.9998387,0.00004392538,0.000009649502,0.00004602163,0.0000375473,0.00002414598],"domain_scores_gemma":[0.9995301,0.0002217093,0.00004050268,0.00004699245,0.0001388552,0.00002185731],"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":[0.00007470988,0.00003252185,0.02648113,0.00005087129,0.00009483348,0.00004474241,0.0001084071,0.9645018,0.002022482,0.0005213433,0.0003764659,0.005690641],"study_design_scores_gemma":[0.00006122546,0.00007232749,0.02387371,0.00002727408,0.00007071566,0.00002461267,0.0001455992,0.9703221,0.002500902,0.0004008508,0.002474182,0.00002663852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712968,0.0002670372,0.01826154,0.0002184713,0.00006476904,0.00004533348,0.002664645,0.0006260888,0.006555303],"genre_scores_gemma":[0.986666,0.0001756908,0.009730927,0.00003050936,0.00001008396,0.00004074999,0.00167284,0.00008184069,0.001591243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.858893,"threshold_uncertainty_score":0.2805712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124854079136434,"score_gpt":0.1728561687901078,"score_spread":0.1616076279987435,"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."}}