{"id":"W2264032638","doi":"","title":"Évaluation multicritère de différents scénarios de gestion des matières organiques résiduelles sur le territoire de la MRC de Lac-Saint-Jean-Est","year":2014,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Historical and Environmental Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Valuation (finance); Economics; Art; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0008060811,0.0001879623,0.0002735452,0.00005335617,0.001576964,0.00002331754,0.0004625769,0.0002652184,0.00005015551],"category_scores_gemma":[0.0005135942,0.0001912051,0.0002012556,0.0001889449,0.003213294,0.0002625212,0.0002266586,0.0002200878,0.00002207405],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004619106,"about_ca_system_score_gemma":0.0003495365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3975711,"about_ca_topic_score_gemma":0.4082647,"domain_scores_codex":[0.9979766,0.0008875866,0.000226125,0.0002220561,0.0003319656,0.000355668],"domain_scores_gemma":[0.9991634,0.0003438535,0.0001105145,0.0001386715,0.00008687367,0.0001566416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001950601,0.002680471,0.1912614,0.003092828,0.000331436,0.00001673575,0.1518905,0.4507101,0.08449128,0.03435938,0.003895918,0.07707495],"study_design_scores_gemma":[0.001358243,0.0001637677,0.4274676,0.004048891,0.0004481939,0.00002603192,0.002326094,0.4026249,0.02905206,0.006836422,0.1251699,0.0004778806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514053,0.006894241,0.02726365,0.001675094,0.0002473232,0.0001768686,0.000009530828,0.00003670183,0.01229128],"genre_scores_gemma":[0.9774984,0.002869274,0.01219889,0.00002461203,0.0001443919,0.000001037906,0.000003987393,0.00001122883,0.007248214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2362062,"threshold_uncertainty_score":0.9997228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196385380989117,"score_gpt":0.2110733260956573,"score_spread":0.1914347879967457,"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."}}