{"id":"W4229875358","doi":"10.1139/h2012-104","title":"Abstracts of the 2012 CSEP General Meeting / Résumés de la 2012 Congrès annuelle de la SCPE","year":2012,"lang":"fr","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001566451,0.0002083707,0.0005483724,0.000103332,0.0002734885,0.00005545532,0.000204595,0.0003334518,0.001282975],"category_scores_gemma":[0.00006602782,0.0002163204,0.0001647145,0.0001361483,0.001151142,0.0003473278,0.0001765549,0.0002812755,0.0004774262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004484326,"about_ca_system_score_gemma":0.00002851073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001735239,"about_ca_topic_score_gemma":0.000002979217,"domain_scores_codex":[0.9983932,0.0001470449,0.0004960558,0.0003258242,0.00003093033,0.0006068827],"domain_scores_gemma":[0.9988773,0.0002735356,0.0004327502,0.000245807,0.00003278814,0.0001378144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004260099,0.0008165663,0.003886198,0.0002089828,0.0003025826,5.292361e-7,0.002804396,0.000168375,0.01165229,0.7338136,0.243365,0.002938886],"study_design_scores_gemma":[0.001131177,0.000002575459,0.2292715,0.00002411263,0.00005844564,0.00000825313,0.0004575306,0.00007666044,0.001147189,0.01282599,0.7548171,0.0001794758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7374847,0.1061969,0.00003213152,0.0004185204,0.003797358,0.0002677927,0.0005000355,0.00001573587,0.1512868],"genre_scores_gemma":[0.9509484,0.01988665,0.001261018,0.0005247136,0.001003412,0.00005970947,0.00001754813,0.00002307445,0.02627549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7209876,"threshold_uncertainty_score":0.99963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431417245468278,"score_gpt":0.2426270241704961,"score_spread":0.2183128517158133,"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."}}