{"id":"W7036847801","doi":"","title":"Conception et évaluation d'un outil d'aide à la décision pour la maintenance préventive et prédictive d'équipements miniers mobiles souterrains","year":2023,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Subject (documents); Limiting","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":[0.008951536,0.001462074,0.0009279175,0.002313282,0.001358479,0.006969117,0.002328089,0.002168423,0.01033993],"category_scores_gemma":[0.02254039,0.0005541565,0.0008401553,0.0008432029,0.00139161,0.003309691,0.00208375,0.001453779,0.001713437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003254926,"about_ca_system_score_gemma":0.005713471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008237567,"about_ca_topic_score_gemma":0.007998063,"domain_scores_codex":[0.9917636,0.003117159,0.0005374363,0.0007696857,0.003346242,0.0004659568],"domain_scores_gemma":[0.9769387,0.009989016,0.001669111,0.001086582,0.009307901,0.001008797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00314089,0.002504935,0.03883154,0.004724875,0.0003282532,0.0008786346,0.009881727,0.0333867,0.03399023,0.03132144,0.01333775,0.8276731],"study_design_scores_gemma":[0.0007793207,0.01070777,0.07749633,0.006621242,0.00236822,0.001685194,0.02562115,0.4907249,0.1388122,0.02000587,0.2244675,0.0007104625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3504401,0.002766274,0.54992,0.006204346,0.0007736539,0.005882398,0.001009971,0.004894131,0.07810903],"genre_scores_gemma":[0.6721812,0.0008490963,0.3076205,0.000552389,0.0000902602,0.001224097,0.0007425484,0.0001306729,0.01660929],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01033993,"threshold_uncertainty_score":0.04734081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384306867771391,"score_gpt":0.2824345052012319,"score_spread":0.258591436523518,"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."}}