{"id":"W7002057422","doi":"","title":"Modèle de gestion des matières résiduelles pour les magasins d'alimentation","year":2015,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Limiting; Rail transportation","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"],"consensus_categories":[],"category_scores_codex":[0.0004203313,0.0003832832,0.0005105051,0.0003484434,0.0006117557,0.00006751558,0.00203514,0.0003593468,0.0005101361],"category_scores_gemma":[0.0001210058,0.0003732852,0.0003525379,0.00062387,0.001721732,0.0006481683,0.0008482701,0.0002881848,0.0002455054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002479568,"about_ca_system_score_gemma":0.0008680447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007659176,"about_ca_topic_score_gemma":0.0695236,"domain_scores_codex":[0.9977117,0.0004284897,0.0003985114,0.0005109563,0.00060935,0.000341014],"domain_scores_gemma":[0.9981368,0.0001004184,0.0003532903,0.0006965717,0.000536002,0.0001768742],"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":[0.0002501306,0.002494917,0.01900428,0.009546227,0.002071817,0.00006990388,0.02798106,0.3798443,0.0547783,0.3392629,0.104614,0.06008212],"study_design_scores_gemma":[0.002175302,0.000244385,0.1021375,0.01602955,0.001905016,0.0001756395,0.0007561211,0.5670711,0.04035193,0.007066248,0.2610256,0.00106167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02430748,0.01119624,0.716709,0.0006845817,0.0005400408,0.0004207673,0.00009827092,0.00007407214,0.2459695],"genre_scores_gemma":[0.524344,0.001349972,0.1862864,0.00002839982,0.0002516749,0.000001389705,0.0001082165,0.000069837,0.28756],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5304226,"threshold_uncertainty_score":0.9998719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219039041430999,"score_gpt":0.2258586118671951,"score_spread":0.1736682214528851,"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."}}