{"id":"W7061538364","doi":"","title":"Prévision ascendante de l'inflation canadienne","year":2024,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Research methodology; Limiting; Natural logarithm","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002682103,0.0007518692,0.0006552656,0.0007962059,0.0002425709,0.00007739267,0.0006704979,0.0005141878,0.01504164],"category_scores_gemma":[0.00004087354,0.0008231613,0.0005465156,0.0005739834,0.0001651397,0.0002124101,0.0002008421,0.0009700113,0.005440191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002677578,"about_ca_system_score_gemma":0.0004563926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7369455,"about_ca_topic_score_gemma":0.9288172,"domain_scores_codex":[0.997353,0.0001579017,0.0004221888,0.0007615152,0.0003195898,0.0009857622],"domain_scores_gemma":[0.9982923,0.0001477396,0.0001447567,0.0007010667,0.00005889109,0.0006552661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002461479,0.0002173446,0.001187864,0.002237024,0.003440168,0.003915003,0.3481305,0.04355087,0.01210962,0.02221747,0.05245071,0.5102973],"study_design_scores_gemma":[0.0006727689,0.0001069374,0.004215146,0.001485941,0.001360481,0.0001292194,0.004242252,0.09447712,0.0001731565,0.001793911,0.8902786,0.001064412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6428642,0.06675886,0.06104559,0.01026318,0.002857767,0.001047083,0.0002689882,0.001567869,0.2133265],"genre_scores_gemma":[0.7468248,0.002376701,0.003065713,0.00009016616,0.0005880192,0.000007603724,0.00006649702,0.000756647,0.2462238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8378279,"threshold_uncertainty_score":0.9994219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003194611337383035,"score_gpt":0.157637829960339,"score_spread":0.1544432186229559,"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."}}